IEEE CBMS 2026: THE 39TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS

This page contains an index consisting of author-provided keywords.

1
12-lead ECG	Temporal Latent Priors for Sequential VAE Modeling of Full-Length 12-Lead ECGs
3
360/VR Video Compression	Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets
3D Deep Learning
3D Medical Image Registration
3D Medical Image Synthesis	C3MG : Clinically-Controlled Cardiac Mesh Generator based on Rectified Flow Matching
3D Microscopy	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
3D pose estimation	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
3D Reconstruction
3D ResUNet	SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
3D Visualization
7
7 Tesla MRI	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
A
A-mode	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
ABI	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
accelerometer sensor	Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment
Accessibility
Accessibility Technologies	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
Acne severity grading
acoustic features	Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement
actin remodeling	Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery
Active Learning	Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
Acute-Kidney-Injury	Continuous AKI Prediction in the ICU
Adaptive sampling	GAN-based Adaptive Radial Subsampling and Reconstruction for Brain MRI
ADNI
Adversarial NLP	IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection
Adverse Drug Events (ADE) detection	Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings
Adverse drug reactions	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
affecting computing	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Affective computing
aging	From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
AI	Explainable AI in Medicine: Trends and Educational Implications
AI integration architecture
AI medicine
AI personalization
AI-based parsing
airway assessment	Automated Trachea Segmentation from CT Imaging Using AI Models
Alert Fatigue	IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection
Algorithmic Fairness	Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
Alignment-free Screening	Optimized metagenomic classification through hybrid computational approaches
allocation	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia
ALS
Alternative direction method of multipliers	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Alzheimer's Disease	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Alzheimer’s disease	Developing and Evaluating Candidate Surrogate Outcomes for Alzheimer’s Disease Clinical Trials: A Simulation Study Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
Ambulance Dispatch
Ambulance Response Time	Process-Aware Conformal Prediction for Ambulance Response Time Estimation
anatomy-aware generative modeling
Android application	Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment
Angle aware Quantization
ANN(FAISS)	Multimodal Dual-Encoder Retrieval for Automated ICD Coding
Annotated dataset	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Anomaly Detection
anopheles
Anterior Segment Imaging Classification
antimicrobial peptides (AMPs)	Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking
Antimicrobial resistance	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance
Anxiety Detection	Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
application	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
Archive	Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
ArgEML	Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study
Arrhythmia	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Arrhythmia burden	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
Arrhythmia Classification
arterial stiffness	Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing
Artery segmentation
Artery-wall dynamics	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
artifact correction	OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis
artifact intensity estimation	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines
Artificial Intelligence	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews Interpretable Machine Learning for Early Sepsis Prediction ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model Explainable AI in Medicine: Trends and Educational Implications Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Artificial Intelligence in Biomedicine
Artificial intelligence in dentistry	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Artificial Intelligence in Healthcare	Enhanced Medical Image Segmentation using Hybrid Diffusion Model with Mamba
asbestos-related disease	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Asbestosis
aspect-based sentiment analysis
assistive technology	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
ATLAS
Atrial Fibrillation	An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Attention Model	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
Attention U-net	Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction
attention visualization	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
audio user interfaces	XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion
audit	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care Vulnerability Audits for Connected Medical Devices
auditable reasoning	Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
Augmentative and Alternative Communication (AAC)	A Consumer EEG–Driven Word Keyboard for Assistive Communication
augmentative communication
augmented reality
Auscultatory-BP
autoencoders	Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
AutoGen	Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs
Automated ICD coding	Multimodal Dual-Encoder Retrieval for Automated ICD Coding
Automated Patient Triage	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
automatic pain assessment
Automatic Speech Recognition (ASR)
aviation	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating
axon map	An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
Ayurveda	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
B
Bayesian Adaptive Estimation	Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli
Bayesian models
Bayesian Network
Bedside documentation
before–during–after comparison
Belief PE	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Benchmarking
BERT	Transformer-Based Cardiovascular Event Prediction Using National Claims Data
BI-RADS	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
bibliometrix	Explainable AI in Medicine: Trends and Educational Implications
Bidirectional temporal processing	Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography
BiLSTM
binary classification	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
biochemical recurrence	Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction
Bioengineering	Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Bioinformatics	A Novel Multi-Omics Driven Deep Learning Approach for Accurate Lung Cancer Detection
Biological Networks
Biomarker	From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish
biomarker discovery	Frozen External Validation of an Interpretable k-TSP Panel for Colorectal Adenoma Across Independent GEO Cohorts
Biomedical Engineering	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Biomedical Image Processing	Enhanced Medical Image Segmentation using Hybrid Diffusion Model with Mamba
Biomedical Imaging	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Biomedical Natural Language Processing	Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings
Biomedical Research
Biomedical signal processing	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
biosignals	A telemonitoring framework for arteriovenous graft and vital signs
BioSNAP	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
BlandAltman Analysis	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
bleed-through	Multi-point Nonlinear Crosstalk Correction for Fluorescence Microscopy
BLIP-2 model	Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
Blood Flow Detection
blood glucose prediction	Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose
blood pressure	Cuffless Continuous Arterial Blood Pressure Waveform Estimation From PPG Using a CNN–LSTM Encoder–Decoder
Body Composition
Boundary learning	BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
boundary loss	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
Brain MRI
Brain network analysis
brain segmentation masks
Brain-Computer Interface	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Brain-Computer Interface (BCI)	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Brain-Computer Interfaces (BCI)	A Consumer EEG–Driven Word Keyboard for Assistive Communication
Breast Cancer	Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing
Breast cancer image classification	Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets
Breast cancer imaging	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
Breast Magnetic Resonance Imaging
Burnout	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
C
calcification	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
Calibration-free
Cancer
cancer care
cancer pain
Cancer Patient Information	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Cardiac MRI
cardiac MRI segmentation	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
Cardiac ultrasound	Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos
cardiology	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
cardiology informatics	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses
cardiovascular disease	Transformer-Based Cardiovascular Event Prediction Using National Claims Data
Cardiovascular disease prediction	Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs
cardiovascular diseases	Transfer Learning for ECG Classification: Effects of Label Overlap, Granularity, and Fine-Tuning in Small Clinical Datasets
Cardiovascular risk	Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness
Carotid artery
Carotid Plaque Analysis
Carotid stenosis	Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study
Case Report
Case-Based Explanations
case-based learning	Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects
case-based reasoning	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
Cataracts	Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
cephalogyric movement	Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment
Cephalometric landmark detection
Cephalometric Localization	Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization
cerebellum	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification
CGM	Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose
Chain-of-Thought	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles
Chemotherapy	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction
chest X-ray analysis	Understanding Chest X-ray Vision Representations with DeViL
Chest X-ray Radiography	Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Childhood obesity
children	Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Chinese Population	Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli
chirplet transform	Chirplet Analysis of Brain State During Snow and Cold Exposure
Chronic Disease Management
Chronic Kidney Disease	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
Chunking mechanisms	Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
classical machine learning
Classification	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning? MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
Climatic variables	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
Clinical assessment digitalization	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
clinical care
clinical coding	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
Clinical Communication Skills Training
Clinical data
Clinical Decision Support	Validation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Clinical decision support system	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Clinical Decision Support Systems	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews
Clinical deterioration	A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Clinical Documentation	A AI-driven document builder for standardized clinical studies
Clinical Knowledge Extraction
Clinical Metadata	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Clinical Metagenomics	Optimized metagenomic classification through hybrid computational approaches
Clinical NLP	Multimodal Dual-Encoder Retrieval for Automated ICD Coding Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records
Clinical Note Generation	Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
Clinical Privacy	IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection
Clinical Reasoning	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles
Clinical Triage
Clinical trial eligibility criteria
Clinical trial simulation	Developing and Evaluating Candidate Surrogate Outcomes for Alzheimer’s Disease Clinical Trials: A Simulation Study
Clinical video analysis	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Clinical Video Classification
Clinical Workflow Integration
Clinical workflow preservation
clinically significant prostate cancer	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
CLIP	Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
Cloud based analysis
Clustering	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions A Case-Based and Clustering Framework for Diverse Counterfactual Explanations Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
cnn	Cuffless Continuous Arterial Blood Pressure Waveform Estimation From PPG Using a CNN–LSTM Encoder–Decoder Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
CNN–Transformer
Co-design
Coercion in psychiatry	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry
cognitive analysis
cognitive assessment	Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study
cognitive function	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
Cognitive impairment
cognitive impairment screening
Cognitive load	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Cognitive load reduction
Cognitive Pattern Recognition	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
cognitive process
cognitive subtypes	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification
cogStack	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Cohort definition
Cohort studies
cold exposure	Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study Chirplet Analysis of Brain State During Snow and Cold Exposure
Cold Start Problem	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
collaboration networks	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
colorectal adenoma	Frozen External Validation of an Interpretable k-TSP Panel for Colorectal Adenoma Across Independent GEO Cohorts
Competency-based medical education	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Complex Oncology Centre	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia
composite biomarker
Composite index
Compression	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
computational biology	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Computational biomedical systems	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos
Computational cytology	A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology
Computational Efficiency	Optimized metagenomic classification through hybrid computational approaches
Computational pathology	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
Computed Tomography Pulmonary Angiography
Computer Vision	A biologically-inspired computer vision pipeline for neonatal oral motor assessment Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time BlinkIQ: A Real-Time Landmark-Based Framework for Robust Eye Blink Analytics and Digital Biomarker Extraction
computer-aided diagnosis	Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets
Computer-aided surgery	Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis
Concept Extraction
concept-based explanations
concussion	Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement
Conditional Alignment	Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder
Confidentiality Assessment	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
confocal microscopy	Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
Conformal Prediction	Process-Aware Conformal Prediction for Ambulance Response Time Estimation
Conformalized Quantile Regression	Process-Aware Conformal Prediction for Ambulance Response Time Estimation
Contactless	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Context Block	SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
Continuous Coordinate Representation	Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization
Continuous event prediction	Continuous Falls Prediction Among Care Home Residents
Continuous Glucose Monitoring (CGM)	Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
Continuous Neural
Continuous Positive Airway Pressure (CPAP)
Continuous Renal Replacement Therapy	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Continuous-Event-Prediction	Continuous AKI Prediction in the ICU
Contrast Enhanced Mammography
Contrast-Enhanced Spectral Mammography
contrastive learning	Out-of-Distribution Detection in Drug-Drug Interactions via Supervised Contrastive Learning
Contrastive Pre-training (CLIP)	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Convolutional Neural Network	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
Convolutional neural networks	Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
correlation analysis	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Cortisol levels
cost-functions	Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose
counterfactual (CF) generation
Counterfactual Analysis	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
counterfactual explanations	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
Counterfactual reasoning	Counterfactual Reasoning to Executable Clinical Guidelines: A DMN-Based Framework for Diabetes Risk Assessment ا
Counterfactuals	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
coupling	State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
COVID-19
Cox proportional hazards
Cox Regression	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
CRISPR simulation modeling
cross-attention	Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction
Cross-border	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment
cross-cohort generalization
Cross-dataset	Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing
Cross-Lingual NLP	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
cross-modal coordination
Cross-Modal Integration	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
Cross-subject generalization	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Cry Audio Analysis	Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
CT	Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction
CT data
CT imaging	Automated Trachea Segmentation from CT Imaging Using AI Models
CT Perfusion
CT scans	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Cultural heritage
D
Data Augmentation
data balancing
Data Free Quantization
data fusion
data harmonization	PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
data leakage
data lifecycle
data management
Data mining	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry
data permits	A Secure Processing Platform supporting the European Health Data Space infrastructure
Data Privacy	DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets
data quality
Data Quality Assessment	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
dataset shift
Dataset Validation	Between Aspiration and Reality – Datasets for Network Security in Healthcare
DCE-MRI
De-identification	IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection
DeBERTa
Decision Making
Decision Mining
Decision Model and Notation(DMN)	Counterfactual Reasoning to Executable Clinical Guidelines: A DMN-Based Framework for Diabetes Risk Assessment ا
decision support	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
Decision Support Systems
Deep Learning	Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records Automatic detection of EEG electrodes on T1-weighted MR Images Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction A Novel Multi-Omics Driven Deep Learning Approach for Accurate Lung Cancer Detection Transformer-Based Cardiovascular Event Prediction Using National Claims Data ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
Deep learning in healthcare	Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis
Deep learning segmentation
Deep Q-Learning	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia
DeepLearning
delta power
Denoising	Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction
Denoising Diffusion Model	Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder
Dental XRay Analysis	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
depression
Dermatological Diagnosis	From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models
Dermatology	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Detection driven pipeline	A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology
diabetes	Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose
Diabetic Retinopathy	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
Diagnosis and Classification
Diagnostic Decision Support System	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Diaphragmatic excursion	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos
Diaphragmatic Thickness	A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates
Diaphragmatic Thickness Fraction	A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates
DICOM	Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
DICOM viewer
Dicoogle	Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
diffeomorphic atlas
differential diagnosis	Verbalized Uncertainty in Medical AI: Differential Diagnosis in Commercial LLMs
differential expression analysis
Diffuse Large B-Cell Lymphoma	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Diffusion Model	C3MG : Clinically-Controlled Cardiac Mesh Generator based on Rectified Flow Matching
Diffusion Models	Transformative Approaches in AI and Machine Learning for Personalized Healthcare: From Diffusion Models to Patient-Specific Therapies Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization
Digiltal health monitoring	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Digital Biomarkers
Digital Clinical Simulation
Digital cognitive assessment
Digital Health	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
digital health competencies	Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects
Digital health ecosystems	Robust and Reproducible Evaluation of Narrative-Based Sleep Disorder Classification Using Hybrid Semantic and Lexical Representations
Digital Health Integration	Validation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data
Digital health monitoring
Digital Heath Tools
Digital Humans
Digital Mental Health	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
digital pathology	Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
digital prevention
digital stethoscope
Digital Twin	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia FedTwin‑XAI: A Patient‑Owned Federated Digital Twin Framework with Explainable Mobile Medical Imaging and Differentially Private Synthetic Augmentation
Digital Twins	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
Digital-Analog Quantum Computing
digitisation	Development of an automated pipeline for the digitisation of paper pain drawings
Dilated Convolutions	SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
discharge summaries	An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries
Discretization	Continuous AKI Prediction in the ICU
Disease Mechanisms
disease module	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease
Disease Module Detection
Disease Networks
Disease progression characterization	Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis
Dispersion Entropy	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Distributed PACS	Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
DL Aided Quality Control	Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures
Documentation burden
Domain Adaptation	Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Domain Decomposition
Domain generalization	Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing
domain shift	Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
domestic monitoring	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
Doppler Ultrasound
Doxorubicin	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction
drawing strategy analysis
drift detection	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Drosophila midgut	Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
drug combinations	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease
Drug Repurposing
Drug-Disease Association	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
drug-drug interactions	Out-of-Distribution Detection in Drug-Drug Interactions via Supervised Contrastive Learning
Drug-induced liver injury	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
Dual-Attention Fusion	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Dual-encoder retrieval	Multimodal Dual-Encoder Retrieval for Automated ICD Coding
Dynamic Task Balancing	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Dynamic Time Warping (DTW)	Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
Dysgraphia screening
E
Early Diagnosis	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
early vs late stroke	Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study
early-warning signals	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
early-warning systems	Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy
EB Morphology Classification	Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures
ECG	ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
ECG augmentation
ECG denoising	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines
ECG monitoring	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
ECG-based classification	Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs
Echocardiography	Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos
Echotexture Classification	Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
ecosystem mapping	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
EDA
Edge Computing	SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
Educational Gamification
eduction	Explainable AI in Medicine: Trends and Educational Implications
EEG	Automatic detection of EEG electrodes on T1-weighted MR Images Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
EEG Classification
EEGNet
EHDS	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis A Secure Processing Platform supporting the European Health Data Space infrastructure Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects
eHealth	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects
eHealth infrastructure
elderly
Elderly depression	Group therapy for elderly depression: Deep Learning Based on Large Models of Music Affective Computing
electrocardiogram	Transfer Learning for ECG Classification: Effects of Label Overlap, Granularity, and Fine-Tuning in Small Clinical Datasets
electrocardiogram (ECG)
Electrocardiography	Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Electrochemical biosensors
Electrode Detection	Automatic detection of EEG electrodes on T1-weighted MR Images
electroencephalography	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Electroencephalography (EEG)	Chirplet Analysis of Brain State During Snow and Cold Exposure
Electronic Health Record	Mixed Reality in Electronic Health Records: User Requirements and Evaluation
electronic health records	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Electronic Health Records (EHRs)
Electronic medical records
Eletrocardiogram (ECG)	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Embedded Deployment	An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment
embedded systems	A Modular, SOLID based Hybrid Software Architecture for Medical Devices on Heterogeneous Edge Platforms
embedding	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Embodied Conversational Agent
Embodied Conversational Agents
Emergency Department	A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Emergency Medical Services	Process-Aware Conformal Prediction for Ambulance Response Time Estimation
EMG	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Emotional Arousal
Empathy
EMR
energy-efficient machine learning	Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
Ensemble Learning
ensemble predictive model	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
ENT	Explainable Complication Status Prediction after Tracheostomy Procedure
Entity Linking
Entrustable Professional Activities (EPAs)	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Environmental Exposure
Epidemic Forecasting
Epidemiological Networks
Epilepsy
error tolerant design
Ethical Considerations	Transformative Approaches in AI and Machine Learning for Personalized Healthcare: From Diffusion Models to Patient-Specific Therapies
EUDI Wallet	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment
European Health Data Space
European Joint Action
evaluation
Event Management
event-driven inference	Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
Event-log	A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Evidence-Grounded Medical AI	From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models
executive function	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
Executive functions
Exoskeletal Data Glove	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
Exoskeletons	Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Explainability	Explainable Complication Status Prediction after Tracheostomy Procedure
explainability AI	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Explainable AI	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data Interpretable Machine Learning for Early Sepsis Prediction Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection FedTwin‑XAI: A Patient‑Owned Federated Digital Twin Framework with Explainable Mobile Medical Imaging and Differentially Private Synthetic Augmentation From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish Explaining Visual-Language Foundation Models for Histopathology: a Patch-Level Approach Counterfactual Reasoning to Executable Clinical Guidelines: A DMN-Based Framework for Diabetes Risk Assessment ا
Explainable AI SHAP
Explainable Artificial Intelligence	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions A Case-Based and Clustering Framework for Diverse Counterfactual Explanations Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video Explainable AI in Medicine: Trends and Educational Implications
Explainable Feedback
Explainable ML	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
extended reality	XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion
external validation	Frozen External Validation of an Interpretable k-TSP Panel for Colorectal Adenoma Across Independent GEO Cohorts
extracellular vesicles	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
eye tracking
Eye-tracking	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
F
Facial action units
Facial Landmarks	BlinkIQ: A Real-Time Landmark-Based Framework for Robust Eye Blink Analytics and Digital Biomarker Extraction
facial motion analysis
Facial-emotion recognition	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
FAIR data
FAIR Health Data
Fairness in Healthcare AI
fall prevention	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
fall risk	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
Fall risk prediction	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
Falls prediction	Continuous Falls Prediction Among Care Home Residents
Fatigue	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
Feature attribution
Feature Decoupling	GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis
Feature Fusion
feature harmonization
Feature Selection
Federated Analysis	Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis
federated data discovery
Federated Learning	SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets FedTwin‑XAI: A Patient‑Owned Federated Digital Twin Framework with Explainable Mobile Medical Imaging and Differentially Private Synthetic Augmentation
Federated Machine Learning	Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis
Federated Research Infrastructure
federated storage
feedback	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Fetal ECG
Fetal Liver	Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
Fetal ultrasound
Few-shot Image Generation
few-shot learning
Few-Shot Prompting	Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
FFLUnet
FHIR	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment
Fidelity
Fields
Flow Matching
fluorescence microscopy	Multi-point Nonlinear Crosstalk Correction for Fluorescence Microscopy
fMRI	Automatic detection of EEG electrodes on T1-weighted MR Images
fMRI classification
fMRIPrep	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
fNIRS	State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
Force Sensing	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Forecasting
Foundation Model
Foundation Models	Automated Trachea Segmentation from CT Imaging Using AI Models A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis Explaining Visual-Language Foundation Models for Histopathology: a Patch-Level Approach
Fractal dimension	Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography
Framework	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification
Frequency-domain
frontal alpha asymmetry	Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
Frontotemporal dementia	Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography
FRS	Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness
Fugl-Meyer Assessment (FMA)	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
Fully Passive Mechanism	Knee Exercise Directional Control and Range of Motion Measurement Device for Physical Therapy Monitoring of Post-Total Knee Arthroplasty Patients
Functional Brain Networks
functional connectivity	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification
Functional decline	From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish
Functional magnetic resonance imaging	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Fundus Photography
Fuzzy Cognitive Maps
G
G-Eval
Gait analysis
Gamification
Gamified Cognitive Testing	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
GAN-based Reconstruction	GAN-based Adaptive Radial Subsampling and Reconstruction for Brain MRI
GANs
Gaze entropy	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
GCN-LSTM	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
GDPR	A Secure Processing Platform supporting the European Health Data Space infrastructure
Gender Bias	Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
gene expression	Frozen External Validation of an Interpretable k-TSP Panel for Colorectal Adenoma Across Independent GEO Cohorts
gene regulation
Gene Regulatory Networks
Generalizability
Generalized Anxiety Disorder
Generative Adversarial Network
Generative Adversarial Networks	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis
Generative AI	Transformative Approaches in AI and Machine Learning for Personalized Healthcare: From Diffusion Models to Patient-Specific Therapies
Generative Models	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort Predictive Uncertainty for Medical Image Synthesis with Continuous-Time Generative Models Enhanced Medical Image Segmentation using Hybrid Diffusion Model with Mamba
genetic algorithm	Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
genomic analysis
genotype analysis
geometry-aware modeling	Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
Geriatric assessment	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
geriatric patients	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Gestational Diabetes Mellitus	Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
Gestational Trophoblastic Diseases	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
GIS-based Optimization
Glaucoma
Glioblastoma
glioma
Google MediaPipe	BlinkIQ: A Real-Time Landmark-Based Framework for Robust Eye Blink Analytics and Digital Biomarker Extraction
Governance-Aware AI
GPT-4o
Grad-Cam
Gradient Accumulation	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Gradient Boosting	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
Graph Attention Networks (GAT)	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
Graph Convolutional Networks	Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography
Graph Neural Networks	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance
Graph Reasoning
Graph theory
Graph-Based Models
GraphSAGE	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
Greece	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Green AI
Green-Aware Artificial Intelligence
GREG
Group Music Therapy	Group therapy for elderly depression: Deep Learning Based on Large Models of Music Affective Computing
grouping scoring modeling (GSM)	Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking
GSR
H
hand dexterity	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Hand Movement Classification	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
hand-drawing sequence mining
handwriting	Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Handwriting analysis
hardware abstraction	A Modular, SOLID based Hybrid Software Architecture for Medical Devices on Heterogeneous Edge Platforms
Hardware-software integration
HCD
HCI
health data governance	A Secure Processing Platform supporting the European Health Data Space infrastructure
Health Data Interoperability
health data lifecycle
Health Data Space	Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis
Health Equity	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
health indicators
Health Informatics	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound A AI-driven document builder for standardized clinical studies
Health Information Systems	A Conversational Agent for Natural Language Access to Public Health Data
Health Literacy
Health promotion
Healthcare	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
Healthcare Administration	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
Healthcare Analytics
Healthcare Cybersecurity	Between Aspiration and Reality – Datasets for Network Security in Healthcare
Healthcare Datasets	DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets
Healthcare Informatics	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
healthcare IoT
Healthcare monitoring
healthcare performance monitoring	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
healthy communities
heart failure	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Helicobacter pylori	Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery
hemodynamic response	State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
Heterogeneous Knowledge Graphs	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
Hidden Markov Models	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Hierarchical Bayesian modelling	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
hierarchical classification	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses
hierarchical pattern descriptors
High Dose-Rate Brachytherapy
Histology	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
histopathology	Explaining Visual-Language Foundation Models for Histopathology: a Patch-Level Approach
Hjorth's parameters	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
HL7 FHIR	A telemonitoring framework for arteriovenous graft and vital signs
HOG	Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
HoloLens	Mixed Reality in Electronic Health Records: User Requirements and Evaluation
Hospital admission prediction	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records
hospital operations	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
Huffman encoding
Human Pose Estimation
human-centered design
Human-Computer Interaction	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
Human-in-the-loop
Human-in-the-Loop AI
Hybrid AI Architecture	IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection
Hybrid Distillation Loss	Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Hybrid lexical-semantic modeling	Robust and Reproducible Evaluation of Narrative-Based Sleep Disorder Classification Using Hybrid Semantic and Lexical Representations
hyperbaric oxygen therapy	State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
hyperparameter optimization
I
ICD	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
ICD coding
ICD-10	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses
ICP	Automatic detection of EEG electrodes on T1-weighted MR Images
ICU	Continuous AKI Prediction in the ICU
image classification	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
Image Enhancement	Enhanced Medical Image Segmentation using Hybrid Diffusion Model with Mamba
image guided navigation
Image Processing
Image Reconstruction	Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction
Image registration	Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis
Image Segmentation
Image-to-Image	Predictive Uncertainty for Medical Image Synthesis with Continuous-Time Generative Models
image-to-image translation
imagined speech
imaging biomarkers	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
immune ecosystems	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
immuno-histochemistry	Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets
immunohistochemistry	Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
Immunohistochemistry (IHC)	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
immunotherapy resistance	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Imputation
IMU	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
IMU-based sensing	Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
In silico model
In-silico	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
Inclusion
Inclusive clinical research
inertia measurement unit	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
inertial measurement unit	Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
inertial measurement units (IMU)	Chirplet Analysis of Brain State During Snow and Cold Exposure
Infectious Disease
Information Extraction	Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
information retrieval	Incomplete information retrieval without imputation: exploiting the correlation among deep features
InfoVAE-MMD	Temporal Latent Priors for Sequential VAE Modeling of Full-Length 12-Lead ECGs
Intelligent Healthcare
intelligent networking
intensive care	Explainable Complication Status Prediction after Tracheostomy Procedure
Intensive Care Unit (ICU)	Interpretable Machine Learning for Early Sepsis Prediction
Intepretability	Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering
interactive dashboard
internal validation analysis	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Internet of Medical Things	Vulnerability Audits for Connected Medical Devices
Internet of Medical Things (IoMT)	Between Aspiration and Reality – Datasets for Network Security in Healthcare
Internet of Things	Group therapy for elderly depression: Deep Learning Based on Large Models of Music Affective Computing
Interoperability	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects
Interoperable Research Data Infrastructures
interpretability	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images Understanding Chest X-ray Vision Representations with DeViL
interpretable AI	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
interpretable machine learning	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines Frozen External Validation of an Interpretable k-TSP Panel for Colorectal Adenoma Across Independent GEO Cohorts
Interspike interval (ISI)	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
interval cancer	Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges
Inter–subject generalization
Intracranial EEG	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Intraoperative Bleeding Detection
Intrusion Detection Systems (IDS)	Between Aspiration and Reality – Datasets for Network Security in Healthcare
IoMT (Internet of Medical Things)
iPSC derived NK Cells	Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures
Irregular sampling	Continuous Falls Prediction Among Care Home Residents
ischemic infarct
K
k-medoids
k-TSP	Frozen External Validation of an Interpretable k-TSP Panel for Colorectal Adenoma Across Independent GEO Cohorts
Keypoint RCNN	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
Keywords (one per line):
Ki-67 proliferation index	Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
Ki67
Kinect V2	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
Knee cartilage segmentation	BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
Knee Rehabilitation	Knee Exercise Directional Control and Range of Motion Measurement Device for Physical Therapy Monitoring of Post-Total Knee Arthroplasty Patients
Knowledge assimilation
Knowledge Distillation	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis Enhanced Medical Image Segmentation using Hybrid Diffusion Model with Mamba
Knowledge-Guided Generation
Korotkoff-sounds
L
label attention
Label Free Imaging	Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures
label-efficiency
laparoscopic simulator	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
Large Language Model
Large Language Model-based Neural Architecture Search	An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment
Large Language Models	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning Verbalized Uncertainty in Medical AI: Differential Diagnosis in Commercial LLMs A Conversational Agent for Natural Language Access to Public Health Data Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles A AI-driven document builder for standardized clinical studies
Large Language Models (LLMs)
latent diffusion models
LBP	Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
Learning analytics	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
learning curve
Learning from Demonstration	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
learning polysomnography leave-one-subject-out
Learning Using Privileged Information	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
length of stay	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Level-sets	Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction
LightM-UNet
Lightweight Neural Network	An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment
Linear-mixed effect models	Developing and Evaluating Candidate Surrogate Outcomes for Alzheimer’s Disease Clinical Trials: A Simulation Study
Link Prediction
literacy-aware modelling
Liver
LLM	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
LLM-based re-ranking	Multimodal Dual-Encoder Retrieval for Automated ICD Coding
LMIC
local field potentials	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
LOCS III
loneliness
Longitudinal competency analytics	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Longitudinal image analysis	Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis
Longitudinal modeling	Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy
longitudinal timeline extraction
LoRA	Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
LoRaWAN
Low- and middle-income countries
Low-Density EEG	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Low-Resource Languages	Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Low-resource settings
lstm	Cuffless Continuous Arterial Blood Pressure Waveform Estimation From PPG Using a CNN–LSTM Encoder–Decoder
LTI	SlideLTI: A lightweight tool for LMS-integrated virtual microscopy
Lung Adenocarcinoma (LUAD)	A Novel Multi-Omics Driven Deep Learning Approach for Accurate Lung Cancer Detection
Lung Cancer
Lyapunov exponent	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
M
m-Health
M-mode	Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
M-mode segmentation	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos
Machine Learning	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis Machine learning to analyze the factors catalyzing coercive practices in Psychiatry Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis A Data-Driven Approach to Support Clinical Renal Replacement Therapy Explainable Complication Status Prediction after Tracheostomy Procedure Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction Transfer Learning for ECG Classification: Effects of Label Overlap, Granularity, and Fine-Tuning in Small Clinical Datasets Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Machine Learning for Network Analysis
Machine Vision
magnetic resonance imaging	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Mahalanobis distance	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
Malaria
Malaria prevalence	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
malaria risk
malignancy risk	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
Mamba	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
mammography	Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
Mapping-based Classification	Optimized metagenomic classification through hybrid computational approaches
MAR
MAS	Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs
Mask-free
Mathematical Oncology
max-plus neural network
MDS-UPDRS
Mean phase coherence	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Med-VQA	Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
MedGemma
Medical AI	SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems Verbalized Uncertainty in Medical AI: Differential Diagnosis in Commercial LLMs Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
medical decision support systems	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
medical devices	Vulnerability Audits for Connected Medical Devices
Medical Education	Mixed Reality in Electronic Health Records: User Requirements and Evaluation
Medical Image	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
medical image analysis	SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
medical image analysis conditional diffusion models
Medical Image Classification	Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Medical image generation	Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis
Medical image restoration
Medical Image Segmentation	Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction
medical image synthesis
Medical Images
Medical Imaging	OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images
medical imaging-language integration
Medical Informatics
Medical NLP	Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection
Medical Privacy	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
Medical Question Answering	Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering
medical robotics
medical sentiment analysis
Medical Simulation	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Medical Video Streaming	Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets
Medical Vision-Language Models
medical writing
Medication administration record
Medication management
Medicine	Explainable AI in Medicine: Trends and Educational Implications
MedPrompt	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles
MedSAM	Automated Trachea Segmentation from CT Imaging Using AI Models
MedSigLIP
Membrane Fouling	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
mental diagnostics	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
Mental Health	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs
Mental well-being
MentalHealthPrediction
Mesomorphic Neural Networks	ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
Mesothelioma
Metagenomics	Optimized metagenomic classification through hybrid computational approaches
Metaheuristic Algorithms
methylation	Frozen External Validation of an Interpretable k-TSP Panel for Colorectal Adenoma Across Independent GEO Cohorts
mHealth	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment
Micro-Models	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
Microbiome Profiling	Optimized metagenomic classification through hybrid computational approaches
Mild cognitive impairment (MCI)
MIMIC-IV-ED	A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
mini-golf	Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study
minimally invasive surgery	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
Missing Data	Incomplete information retrieval without imputation: exploiting the correlation among deep features
Mission-Critical Networks
Mix-Up	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
mixed methods
Mixed Reality	Mixed Reality in Electronic Health Records: User Requirements and Evaluation
mixture models
Mixture of Experts	GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis
Mobile Application
mobile brain sensing	Chirplet Analysis of Brain State During Snow and Cold Exposure
Mobile computing in healthcare
Mobile health
mobile health application
Model Adaptation
Model Calibration	Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
Model Compression	An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment
Model Context Protocol
model deployment	Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions
model selection
Model Sustainability
Modeling
modelling	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
modular design	A Modular, SOLID based Hybrid Software Architecture for Medical Devices on Heterogeneous Edge Platforms
Moodle	SlideLTI: A lightweight tool for LMS-integrated virtual microscopy
morphological image processing	Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
Motion analysis	Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos
motion compensation	Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures
Motion simulation	Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos
Motivational Interviewing
Motor Disorder	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
motor performance	Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study
Motor unit	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Motor variability
Movement-Related Cortical Potentials (MRCP)	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
MRI	GAN-based Adaptive Radial Subsampling and Reconstruction for Brain MRI OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing
MRI classification
MRI morphometry
MS
mTBI	Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement
multi-agent	Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
Multi-Agent Systems	RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization
Multi-Centre Studies	A AI-driven document builder for standardized clinical studies
multi-channel	Multi-point Nonlinear Crosstalk Correction for Fluorescence Microscopy
Multi-modal Conditions	Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder
Multi-objective
Multi-omics Integration	A Novel Multi-Omics Driven Deep Learning Approach for Accurate Lung Cancer Detection
multi-scale fusion
Multi-Target Therapies
Multi-Task Learning	GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
Multicenter Data Integration
Multiclass segmentation	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
Multilayer Network
multimodal	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Multimodal AI
Multimodal AI in healthcare
Multimodal Alignment
multimodal artificial intelligence	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
multimodal data fusion
Multimodal Data Integration
multimodal deep learning
Multimodal Fusion	Multimodal Dual-Encoder Retrieval for Automated ICD Coding Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Multimodal Learning	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Multimodal Multitask Learning	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Multimodal physiological signals
Multimodal sensing
Multimodality	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
Multiple Instance Learning	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning? Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Multiple Sclerosis	Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis
Multiple Sclerosis Lesions Segmentation	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
MultiTask Learning	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
Multi‑Agent Systems	PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
Muse	A Consumer EEG–Driven Word Keyboard for Assistive Communication
Music Affective Computing Model	Group therapy for elderly depression: Deep Learning Based on Large Models of Music Affective Computing
Music-Induced Reorganization
mutation profiling	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Myocardial Infarction	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
N
Named Entity Recognition
napari-Plugin	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Narrative-based clinical assessment	Robust and Reproducible Evaluation of Narrative-Based Sleep Disorder Classification Using Hybrid Semantic and Lexical Representations
Nasal cytology	A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology
Natural Language Interfaces	A Conversational Agent for Natural Language Access to Public Health Data
Natural Language Processing	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries
NaturalLanguageProcessing
neoadjuvant therapy
Neonatal behavior analysis	A biologically-inspired computer vision pipeline for neonatal oral motor assessment
Neonatal diaphragm	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos
Neonatal Jaundice	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
Neonatal Pain Assessment	Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
Neonate's diaphragm	Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos
Neonates diaphragm	A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos
Nested cross-validation	Robust and Reproducible Evaluation of Narrative-Based Sleep Disorder Classification Using Hybrid Semantic and Lexical Representations
Network
Network Analysis
Network epidemiology
Network Laten
network medicine	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease
Network Modeling in Public Health
Network Pharmacology
Network Theory
network tracking	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Network Traffic Analysis	Between Aspiration and Reality – Datasets for Network Security in Healthcare
Network-Based Disease Classification
Network-Based Prediction
Neural Network
Neural ODE	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
neuro-symbolic AI	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
neuro-symbolic reasoning	Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
neuroimaging
Neurological disorders
Neurology
Neurorehabilitation	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Neurosymbolic AI	BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance
neurovascular	State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
nnU-Net	Automatic detection of EEG electrodes on T1-weighted MR Images Automated Trachea Segmentation from CT Imaging Using AI Models MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
Non-Conditional Image Generation
non-contrast CT (NCCT)
non-linear analysis	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
nonlinear crosstalk	Multi-point Nonlinear Crosstalk Correction for Fluorescence Microscopy
Nonlinear feature expansion	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
NSCLC
Nuclei classification	A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology
Nursing
nursing homes	Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
Nursing informatics
Nursing workflow
Nursing workforce	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
O
OASIS-3
object detection	Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
Obstructive Sleep Apnea (OSA)
Occupational health analytics
Ocology Patients
ODIR-5K	Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
OHDSI
older adults	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
older adults monitoring	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
OMOP CDM
OMOP Common Data Model (CDM)
Oncology	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction Predicting Emergency Admissions Following Chemotherapy: A Workload Planning Approach Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Oncology Communication
oncology telehealth
Online Machine Learning
Ontology‑Based Data Integration	PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
Open Source	MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
open-vocabulary saliency	Understanding Chest X-ray Vision Representations with DeViL
Ophthalmology
Optical Flow	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Organ segmentation
Out of distribution	Out-of-Distribution Detection in Drug-Drug Interactions via Supervised Contrastive Learning
P
PACS
pain drawing	Development of an automated pipeline for the digitisation of paper pain drawings
pain manikin	Development of an automated pipeline for the digitisation of paper pain drawings
palpation
pandemic response
Panoramic radiographs	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Parkinson’s disease	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
Participatory design
pathologic complete response
Pathology Image Segmentation	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Patient Empowerment	Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Patient Monitoring
Patient Navigation
Patient Rights	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Patient-Centric Knowledge Graph
Patient-doctor interaction
Patient-Generated Health Data
Patient-Generated Health Data (PGHD)	Validation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data
PD	Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
peptide based therapeutics	Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking
peripheral arterial disease	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
Permutation entropy PE	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
personalised medicine
Personalization
Personalized Health	Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs
Personalized Healthcare	Transformative Approaches in AI and Machine Learning for Personalized Healthcare: From Diffusion Models to Patient-Specific Therapies
Personalized Medicine	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction
Personalized Recommendations	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
Pharmacovigilance	Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings
Phase-aware Modeling
phonocardiogram (PCG)
phosphene simulation	An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
physical training	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
Physics Informed Neural Networks
Physio-Digital Temporal Graph	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
Physiological sensors
Physiological signals
Pipeline	Optimized metagenomic classification through hybrid computational approaches
Plaque Features
pleural plaque segmentation	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Pleural Plaques
Pneumoconiosis
point spread function	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
Point-of-care technology
Polynomial classification	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
polypharmacology	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease
Polysomnography	A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
population health management	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Portuguese clinical text	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses
post-fall mortality	Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
post-hoc explainability	Understanding Chest X-ray Vision Representations with DeViL
Post-Training Quantization
postoperative monitoring
Postural Instability
PPG	Cuffless Continuous Arterial Blood Pressure Waveform Estimation From PPG Using a CNN–LSTM Encoder–Decoder Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
Pre-hospital Care
Precision Medicine	A Novel Multi-Omics Driven Deep Learning Approach for Accurate Lung Cancer Detection
Precision sleep medicine	Robust and Reproducible Evaluation of Narrative-Based Sleep Disorder Classification Using Hybrid Semantic and Lexical Representations
prediction	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction Predicting Emergency Admissions Following Chemotherapy: A Workload Planning Approach
Prediction Intervals	Process-Aware Conformal Prediction for Ambulance Response Time Estimation
prediction models	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Predictive Modeling
predictive toxicology	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
Prenatal diagnostics
Preprocessing validation	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Pressure sensing
Pretrained Language Models (PLMs)	Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings
Prevalence estimation	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
Preventive Care
Privacy	SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems
privacy engineering	A Secure Processing Platform supporting the European Health Data Space infrastructure
Privacy Metrics	DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets
Privacy Preservation	Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis
Privacy-Preserving Analytics
problem reformulation	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
Process Decomposition	Process-Aware Conformal Prediction for Ambulance Response Time Estimation
profiles	Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Progression Modeling	Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder
Prompt Engineering	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles
prostate biopsy	Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures
Prostate cancer	Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
prostate segmentation
prosthetic vision	An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
Protein Language Model	BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance
protein–protein interaction network	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease
Protein–Protein Interaction Networks
Pseudo-Labeling	Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
pseudonymization	A Secure Processing Platform supporting the European Health Data Space infrastructure
Psychiatry Data
Psychometric Function	Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli
psychosis	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Psychosocial risk
psychotherapy dropout	Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy
PTB-XL	Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs Temporal Latent Priors for Sequential VAE Modeling of Full-Length 12-Lead ECGs
PTSD	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
PTT	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Public Health
Public Health Data	A Conversational Agent for Natural Language Access to Public Health Data
Pulmonary embolism	Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction
Pulse wave velocity	Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing
Pupil dynamics	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Q
QA	MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
Qualitative Validation	Validation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data
quality estimation	An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries
Quality Improvement
Quality of Life
Quantification	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
Quantum Kernels
Quantum Machine Learning	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
R
Radial undersampling	GAN-based Adaptive Radial Subsampling and Reconstruction for Brain MRI
Radiation	MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
Radiographic dataset	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Radiology Report Generation
Radiology Reports	Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
Radiomics
Radiotherapy
Radiotherapy Planning
RAFT
RAISE platform
Random Forest	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
Range of Motion	Knee Exercise Directional Control and Range of Motion Measurement Device for Physical Therapy Monitoring of Post-Total Knee Arthroplasty Patients
Rank-Constrained Parameter Update
Ranking Evaluation
rare diseases	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Ray Casting	MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
RBD
Re-identification Risk	DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets
Reaction time variability
Reaction-Diffusion
Real-Time Analytics
Real-World Data
Real-World Evidence
Recognition	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
Recurrent refinement
REDCap	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
region-aware loss functions	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
Regional Oncology Centre	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia
Rehabilitation	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Rehabilitation technologies
Reinforcement learning	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Relaxation velocity	Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos
REM Behavior Disorder	A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
REM sleep behaviour disorder heart rate
Remote Health Monitoring	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Remote monitoring
remote patient monitoring	A telemonitoring framework for arteriovenous graft and vital signs
remote system
Representation learning	A biologically-inspired computer vision pipeline for neonatal oral motor assessment
reproducibility
Reproducible AI	Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Research Platform
ResNet50
Resource Optimization
Respiratory monitoring	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos
Respiratory Rate	Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos
Resting tremor	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Resting-state fMRI
retinal image classification
Retinal imaging
Retinal prosthesis	An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
Retrieval-Augmented Generation	SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology A AI-driven document builder for standardized clinical studies
RGB-Depth camera
rheumatic heart disease (RHD)
rheumatology	RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization
Right ventricular segmentation	Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos
Risk Assessment	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction
risk prediction	Transformer-Based Cardiovascular Event Prediction Using National Claims Data
Risk Prioritization
Risk Stratification	Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
robotic surgery
robotics	Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures
robust evaluation
Robustness
ROS	Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
RPM	A telemonitoring framework for arteriovenous graft and vital signs
rural telemonitoring
S
saliency maps	Understanding Chest X-ray Vision Representations with DeViL
samples
Sampling Frequency	Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
schizophrenia	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification
SCL
Score	Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness
SCR
screening	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
secondary data use
secure processing environments	A Secure Processing Platform supporting the European Health Data Space infrastructure
segment linearization	Multi-point Nonlinear Crosstalk Correction for Fluorescence Microscopy
Segmentation	A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates Enhanced Medical Image Segmentation using Hybrid Diffusion Model with Mamba
Segmentation Curation	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
self-supervised
self-supervised audio embeddings
self-supervised learning	Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges
Semantic augmentation	Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis
semi-supervised
Semi-supervised Segmentation
Sensorized ink pen
Sentiment analysis
sepsis prediction	Interpretable Machine Learning for Early Sepsis Prediction
sequential VAE	Temporal Latent Priors for Sequential VAE Modeling of Full-Length 12-Lead ECGs
Serious Game	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Serious Games	Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
SHAP	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
shape loss	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
Shift scheduling	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
Shoulder Arthroplasty
Sickness absence
sigma band
signal quality assessment
Similarity search	Incomplete information retrieval without imputation: exploiting the correlation among deep features
simulation
simulation‑based evaluation	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia
single-cell RNA sequencing	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Skin lesions	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images
Skin tone	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images
sleep EEG
Sleep medicine
sleep spindles
SLIC
SLIC Algorithm
Small-sample machine learning	Robust and Reproducible Evaluation of Narrative-Based Sleep Disorder Classification Using Hybrid Semantic and Lexical Representations
Smart arteriovenous graft	A telemonitoring framework for arteriovenous graft and vital signs
Smart beds
SNOMED-CT	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
SOAP notes
Social Rehabilitation	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
SocialMediaAnalysis
software architecture	A Modular, SOLID based Hybrid Software Architecture for Medical Devices on Heterogeneous Edge Platforms
SOLID principles	A Modular, SOLID based Hybrid Software Architecture for Medical Devices on Heterogeneous Edge Platforms
Southwest Nigeria
Southwestern Nigeria	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
Spanish Language	Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
Sparse-view	Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction
Spatial Analysis
Spatial attention	BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
spatial distribution
Spatial Filtering	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Spatial heterogeneity	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
Spatial transmission patterns
Spatio-temporal graph convolutional networks
speaker recognition	XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion
Spectral-Temporal fusion	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
speech analysis	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement
Speech and signal processing
Speech Disfluency	Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
speech processing	XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion
speech signal processing	Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy
Speech Signals	Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement
speech to text	XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion
Spine Segmentation	SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
Spontaneous Eye Blink Rate	BlinkIQ: A Real-Time Landmark-Based Framework for Robust Eye Blink Analytics and Digital Biomarker Extraction
Stacked Model	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
Stacking (Stacked Generalization)
Standard Operating Procedures	A AI-driven document builder for standardized clinical studies
statistical feature selection	Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking
step counting
Stiffness	Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness
Stress detection on wearables
stress fibers	Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery
Stress measurement
Stress modelling	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
stroke	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
stroke classification
Stroke rehabilitation
Stroke Risk Stratification
Stroke Segmentation
structured radiology report generation	Understanding Chest X-ray Vision Representations with DeViL
Study Platform	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Subgroup Analysis	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
Subtyping	Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis
summarization	An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries
Super-Resolution
Superpixels
Supervised learning
support vector quantum kernel	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
Surgical AI
Surgical imaging	Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis
Surgical Robotics	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Surrogate outcomes	Developing and Evaluating Candidate Surrogate Outcomes for Alzheimer’s Disease Clinical Trials: A Simulation Study
survival prediction
SUS
sustainable health
sway	Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
synchronization sampling	Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing
Synthetic CT	Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
Synthetic Data	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis Transformative Approaches in AI and Machine Learning for Personalized Healthcare: From Diffusion Models to Patient-Specific Therapies Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
synthetic data augmentation	Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
Synthetic Data Generation	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis
synthetic ground truth	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
Synthetic Healthcare Data Generation
Synthetic Image Generation
synthetic tabular data generation
System Integration
System orchestration
System Usability Scale
Systems Biology
Systems Medicine
T
Tabular Data
Task automation in nursing
Taxonomic Classification	Optimized metagenomic classification through hybrid computational approaches
TCCN
TCGA	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Technological Competency as Caring in Nursing
telehaptics
Telemedicine
telemonitoring
telesurgery
Template-matching
temporal drift	Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions
temporal features	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Temporal Leakage	A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Temporal Pattern Mining	Continuous Falls Prediction Among Care Home Residents
temporal prior	Temporal Latent Priors for Sequential VAE Modeling of Full-Length 12-Lead ECGs
Temporal subtraction	Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis
Temporal-Pattern-Mining	Continuous AKI Prediction in the ICU
TensorFlow	A Consumer EEG–Driven Word Keyboard for Assistive Communication
Text Mining
Text-Conditioned Generation	C3MG : Clinically-Controlled Cardiac Mesh Generator based on Rectified Flow Matching
Text-to-Label Generation	C3MG : Clinically-Controlled Cardiac Mesh Generator based on Rectified Flow Matching
Text-to-SQL	A Conversational Agent for Natural Language Access to Public Health Data
TextClassification
TGNN	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
therapeutic target prioritization	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
theta/beta ratio	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
Thickness diaphragm measurement
Time Series
time series data	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
Time-motion study
time-series clustering	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
Time-to-event analysis	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
time–frequency analysis	Chirplet Analysis of Brain State During Snow and Cold Exposure
TinyML	Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
tissue of origin	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Tooth crown segmentation	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Tooth Morphometry	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
Topic Modeling
Topology-Aware	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Total Knee Arthroplasty	Knee Exercise Directional Control and Range of Motion Measurement Device for Physical Therapy Monitoring of Post-Total Knee Arthroplasty Patients
Trachea segmentation	Automated Trachea Segmentation from CT Imaging Using AI Models
tracheostomy	Explainable Complication Status Prediction after Tracheostomy Procedure
training	Explainable AI in Medicine: Trends and Educational Implications
Trajectory Learning	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
trajectory-based anticipation	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
transcriptomics
Transfer learning	Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos Transfer Learning for ECG Classification: Effects of Label Overlap, Granularity, and Fine-Tuning in Small Clinical Datasets Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
transformer	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction Temporal Latent Priors for Sequential VAE Modeling of Full-Length 12-Lead ECGs
transformer model
TransformerModels
transformers	Transformer-Based Cardiovascular Event Prediction Using National Claims Data Incomplete information retrieval without imputation: exploiting the correlation among deep features
Transitional Care
Translational Bioinformatics
TransUNet	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
Treatment Response
Tremor
triage
Trust Assessment	Validation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data
trustworthy	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Trustworthy AI	Explainable AI in Medicine: Trends and Educational Implications
Trustworthy artificial intelligence	Robust and Reproducible Evaluation of Narrative-Based Sleep Disorder Classification Using Hybrid Semantic and Lexical Representations
Tsetlin Machine	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines
Tumbling E	Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli
tumor microenvironment	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Type 1 Diabetes (T1D)	Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
U
U-Net	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
U-Net segmentation	Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos
UK Biobank	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
ultrasound	A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures
Ultrasound images
Ultrasound Imaging	Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
Ultrasound motion analysis	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos
Ultrasound simulation
Ultrasound video	Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos
UMLS	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
uncertainty	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
uncertainty estimation	Verbalized Uncertainty in Medical AI: Differential Diagnosis in Commercial LLMs
Uncertainty Quantification	Process-Aware Conformal Prediction for Ambulance Response Time Estimation Predictive Uncertainty for Medical Image Synthesis with Continuous-Time Generative Models
Uncertainty-Guided	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Underserved and underrepresented populations
Unified Medical Language System
Unified storage	Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
Unity3D	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
unplanned admissions	Predicting Emergency Admissions Following Chemotherapy: A Workload Planning Approach
Upper Limb Rehabilitation	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
usability
Usability Evaluation
Usability Study	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
usability testing
user interface
user-centered design
Utility
V
validation	An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries
variability explainable boosting machine interpretable machine
variational autoencoder
Variational Quantum Circuits
Vibrotactile Interfaces	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
Video Compression	Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets
Video Quality Assessment (VQA)	Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets
Video-Polysomnography
Videogame addiction
VIPVIZA cohort
Virtual microscope	SlideLTI: A lightweight tool for LMS-integrated virtual microscopy
Virtual Patients
Virtual Reality
Virtual realitya
virtual rehabilitation	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Vision
vision systems	A Modular, SOLID based Hybrid Software Architecture for Medical Devices on Heterogeneous Edge Platforms
Vision Transformer	Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges
Vision-Language Models	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
Vision–Language Models
Visual Acuity	Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli
Visual impairment	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
Visual Question Answering	Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
visualisation	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Visualization	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Vital Signs Monitoring	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Voxel-level functional connectivity
vulnerabilities	Vulnerability Audits for Connected Medical Devices
Vulnerable Populations
W
WAN latency	Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
wavelet thresholding	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines
weak supervision	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
weakly supervised learning	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
wearable computing	Chirplet Analysis of Brain State During Snow and Cold Exposure
Wearable Data
wearable device
Wearable Devices	Group therapy for elderly depression: Deep Learning Based on Large Models of Music Affective Computing
wearable EEG	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
wearable rehabilitation	Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
Wearable Robotics	Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Wearable sensing	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
wearable sensors
Wearable technology
wearables
web application	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
WebAPI
WHO-ITA	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
Whole Slides Image	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
Wireless Capsule Endoscopy
Workforce management	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
Working memory
Working Memory (WM)
Workplace-based assessment	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
writing style analysis
X
XAI	ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation Explainable AI in Medicine: Trends and Educational Implications
xDAWN	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
XGBoost	Human-Centric Cognitive Pattern Analysis and Smart Recommendation System for Early Alzheimer’s Risk Prediction
Y
YOLOv8	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
Z
Zero-shot Generation
Zero-Shot Learning