IEEE CBMS 2025: IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS

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

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3D mesh reconstruction	An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
3D volume Cardiac CT	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
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Abbreviations	Abbreviation Identification and Expansion in Real-World Clinical Narratives
actigraphy	Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
Action-Observation Network (AON)	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
Activation maps	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
active learning	Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach
Adaptive Interventions	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
adolescents health	Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
AI	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data
AI-driven	Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
AI-driven Personalization	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Aleatoric	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes
Alignment	Ontology Similarity Prediction: UMLS
Alpha	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Alzheimer's disease	Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods
Alzheimer’s Disease	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker
Alzheimer’s disease classification	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants
Analytics	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data
anisotropy correction	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
annotation tools	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
Anonymity	ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy
Antimicrobial Resistance	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance
Aortic Dissection	From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Artificial Intelligence	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery Augmented Speech Generalization in Parkinson’s disease detection COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing
Assurance	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
Attention	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
attention mechanism	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Attention mechanisms	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Attention Models	Nuclear segmentation in histological images using multiple attention system mixing
Attention U-Net Transformer	A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning
attention-based models	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
Audio	LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
audio-visual speech therapy support	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
Audiovisual design	ANT - Advancing Neurofeedback (in Tinnitus)
augmentation	Augmented Speech Generalization in Parkinson’s disease detection
authoring platform	VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare
Auto calibration	Automatic calibration for CT bed stitching based on Fourier-Mellin
Autoencoders	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
Automated assessment	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
automated motion detection	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
automatic prompt generation	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
Autonomic nervous system	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation
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bacterial pneumonia	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
BCI	ANT - Advancing Neurofeedback (in Tinnitus)
Behavioral Change	Current Situation of Serious Games to Support Ecuadorian Health
Benchmark	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline
BERT	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes ICD code assignment from clinical text: impact of document composition
binary classification	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
Bioarchitecture	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture
Bioinformatics	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
biological ontology	Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Biomarkers	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
BioMedCLIP	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
Biomedical Imaging	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
biomedical informatics	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing
Biomedical Language Models	Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Biomedical Ontology	Ontology Similarity Prediction: UMLS
biomedical text classification	Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach
Biometric Feedback	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Blockchain	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Blood Glucose	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes
blood pressure estimation	Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
brain-computer interface	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
Brainbay	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Breast Cancer	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI Ensemble of radiomics and ConvNeXt for breast cancer diagnosis Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives Infrared breast image segmentation using deep neural networks on thermographic images
Breast Cancer segmentation	A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning
Breast Density Classification	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
Breathing motion	Graph Neural Networks For The Localization Of Breathing Abnormalities
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camera-based	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
cancer diagnosis	Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
cancer insights	Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer
carbohydrate	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
Cardiovascular disease prediction	Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database
Cardiovascular disease prevention	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
Cardiovascular diseases (CVDs)	Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering
care plan	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
Causal Discovery	Exploring causal modeling to enhance diabetes prediction and management
cavities detection	Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer
Cell	3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
cerebrovascular segmentation	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
CESM	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
chest X-ray	Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
children health	Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
Chronic Kidney Disease	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
Chronic Kidney Diseases	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney Diseases
chronic wounds	Automating Tissue Segmentation and Quantification for Wound Healing Assessment
circadian rhythm	Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
class activation map	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
class imbalance	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Classification	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy Automated Coding of French Emergency Calls Using BERT Machine learning prediction of heart health status from mobile PPG measurements Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Clinical care	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Clinical Data	AI-Driven Survival Prediction in Pancreatic Cancer
clinical digital collection	Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections
clinical narratives	Abbreviation Identification and Expansion in Real-World Clinical Narratives
Clinical Neuroscience	ANT - Advancing Neurofeedback (in Tinnitus)
Clinical notes	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes
Clinical Records	An embedding-based method for processing medical audio into structured reports
Clinical text classification	A comparative analysis of AI-based solutions for clinical documentation
Clinical trial protocols	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
CLIP	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Clustering	Benchmarking institutions’ health outcomes with clustering methods Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering
CNN	Detection of active and latent tuberculosis with explainable deep learning ensembles Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA Infrared breast image segmentation using deep neural networks on thermographic images
CNN Ensemble	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
cognitive computing in healthcare	MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker
Cohen's Kappa	Enhancing Pulmonary Nodule Localization based on Latent Representations
Color normalization	Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
Colorectal Cancer	Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach
Community of Portuguese-Speaking Countries	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
component-based software engineering	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
Composite Embeddings	Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples
Computed Tomography	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
Computed Tomography Angiography	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Computer Vision	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements Nuclear segmentation in histological images using multiple attention system mixing Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
Computer-aided diagnosis	Enhancing Pulmonary Nodule Localization based on Latent Representations
Concept mapping	An embedding-based machine learning solution for medical concept mapping
conditional variational autoencoder	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation
Cone Beam CT	Automatic calibration for CT bed stitching based on Fourier-Mellin
Conformer	LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
contactless	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
Continuous Positive Airway Pressure (CPAP)	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Contrastive Language-Image Pretraining	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Contrastive Loss	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms
ConvNeXt	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
Convolutional Neural Network	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Convolutional Neural Networks	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Core Propagation Phenomenon Ontology	Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Counterfactual	Exploring causal modeling to enhance diabetes prediction and management
Counting	Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models
Covariances Matrices	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
CPAP Adherence	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
cross-modal	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
CT	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin CT Sinogram inpainting for truncation artifact correction and Field-of-view extension
CT imaging	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
CT scans	Automatic detection of pleural plaques presence in asbestos-exposed individuals
cuffless measurement	Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
Cultural Adaptation	Current Situation of Serious Games to Support Ecuadorian Health
Cycle GAN	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
Cytology	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
Cytopathology	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
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data analysis	Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
Data Fusion	Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence
Data preprocessing	Benchmarking institutions’ health outcomes with clustering methods
Data profiling	An embedding-based machine learning solution for medical concept mapping
Data protection	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Data publish	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
data visualization	Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
database generation	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations
dataset annotation	An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
DCE	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
De-Anonymization Attacks	ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy
death prediction	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Decision Support System	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation
Decision support systems	Remote Monitoring of Rehabilitation Exercises Through Motion Assessment
Decision-Support	Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach
Deep Learning	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Adapting a Segmentation Foundation Model for Medical Image Classification The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification Detection of active and latent tuberculosis with explainable deep learning ensembles A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals Automating Tissue Segmentation and Quantification for Wound Healing Assessment Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance Ensemble of radiomics and ConvNeXt for breast cancer diagnosis Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes A Transformer-Based Anomaly Detection System for OCT Image Embeddings Intraoperative Absolute Depth Estimation in MVD Surgery
Deep learning architectures for healthcare diagnostics	Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database
Deep neural network	3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
Delta	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
dementia	Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept
Denoising Diffusion Models	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
dental caries	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Depression	LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
Depth Estimation	Intraoperative Absolute Depth Estimation in MVD Surgery
Description Detection Framework	Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Design	Explainable AI and trust, design methodologies to explore patients’ perspective
design requirements	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
diabetes	Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition Exploring causal modeling to enhance diabetes prediction and management
diabetic retinopathy	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Diagnosis	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Dictionary learning	Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
differential co-expression networks	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
differential gene expression	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
Differential Privacy	Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Differentiation	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Digital Anthropometry	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Digital Biomarkers	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
digital chest tomosynthesis	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations
Digital Health	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Digital Pathology	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Digital Phenotyping	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
Digital Twins	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
Disease Module	Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
disease networks	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing
DISNET knowledge base	Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
Displacement vector fields	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants
Distributed Machine Learning	A Federated Random Forest Solution for Secure Distributed Machine Learning
Distributed Machine-learning	Benchmarking institutions’ health outcomes with clustering methods
Divergent wave imaging	A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging
Domain Adaptation	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms
Dose Map Estimation	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Driving Simulation	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
Drug Discovery	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
drug repurposing	Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing
Drug repurposing validation	Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation
Drug-Drug Interaction	Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph
Drug-Drug Interactions	Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples
dual-encoder	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
dynamic parameter	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation
dysarthria	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
dysbiosis	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
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ECG-based multi-label classification	Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database
ecological validity	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
Ecuador	Current Situation of Serious Games to Support Ecuadorian Health
EEG	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
EHR	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
elderly	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
electrocardioggram	Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
Electrocardiogram (ECG)	ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy
Electrocardiogram data	Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation
Electrocardiogram(ECG)	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation
Electroencephalogram (EEG)	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
Electromyography(EMG)	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation
Electronic Health Records	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
electronic medical record	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Electroporation	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Embedding Models	An embedding-based method for processing medical audio into structured reports A comparative analysis of AI-based solutions for clinical documentation
Emergency department	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
emotive writing	MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker
Emphysema	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
end of life	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study
Endoscopy	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
entropy	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
environmental sensors	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study
Epistemic	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes
ETL Pipelines	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
evolutionary learning	Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
Explainable AI	Detection of active and latent tuberculosis with explainable deep learning ensembles ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department Explainable AI and trust, design methodologies to explore patients’ perspective
Explainable Artificial Intelligence	Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence
External validation	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
eye imaging	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Eye tracking	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Eye-Tracking	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
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fat	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
Fear of cancer recurrence	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
Feasibility	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Feature engineering	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories. Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Feature Extraction	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
feature importance	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
feature reproducibility	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
feature selection	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
Federated Learning	FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging A Federated Random Forest Solution for Secure Distributed Machine Learning
feedback stimuli	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
Few-Shot Learning	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
few-shot prompting	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds
FFDM	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
FHIR	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Fine-tuning	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Fourier	Automatic calibration for CT bed stitching based on Fourier-Mellin
fractal dimension	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Fraud Waste Abuse	Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models
frequency	CT Sinogram inpainting for truncation artifact correction and Field-of-view extension
Frontotemporal Dementia	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Fully-automatic segmentation	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
functional near-infrared spectroscopy (fNIRS)	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
Fuzzy C-Means	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
G
GAD-7 and PHQ-9	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
gadolinium	Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
GANs	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images
Gaussian Mixture Model	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
GenAI	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
Gender	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation
Gene co-expression network	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Gene Prioritization	Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
Gene-Disease Associations	Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
General Data Protection Law	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
generalization	Augmented Speech Generalization in Parkinson’s disease detection
Generative Adversarial Networks	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney Diseases Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation
Generative Adversarial Networks (GANs)	Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique
Generative AI	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
generative models	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
generative user research	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
genetic algorithms	A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding
genetic polymorphisms	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Glioma Classification	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Glucose Prediction	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes
graph	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Graph Embeddings	Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph
Graph Exploration	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Graph Learning	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
graph mining	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
graph modeling	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
Graph Neural Network	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
Graph Neural Networks	Graph Neural Networks For The Localization Of Breathing Abnormalities Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing
GravityNet	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
group fairness	FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging
Groupwise registration	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants
H
H&E	Nuclear segmentation in histological images using multiple attention system mixing Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
hallucination	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
handwriting	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
haptic device	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform
HDBSCAN	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
Head and Neck Surgery	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
Health Data Harmonization	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
Health Informatics	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Health Monitoring	Graph Neural Networks For The Localization Of Breathing Abnormalities
Health Systems	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
healthcare	VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare Current Situation of Serious Games to Support Ecuadorian Health
Healthcare Automation	An embedding-based method for processing medical audio into structured reports
Healthcare Data	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Healthcare reimbursement data	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
Heart Failure	Machine learning prediction of heart health status from mobile PPG measurements VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
Heartbeat Anomalies	Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering
hemodynamic response	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
hepatic encephalopathy	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Hepatocellular Carcinoma	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
hereditary ataxia	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
Hierarchical clustering	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories. From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
High-fidelity Simulation	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation
High-Performance Computing	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Histological Image Processing	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Histological images	Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
Histopathology image segmentation	Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
Histopathology images	Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
Home Treatment	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
hospital readmission	Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
HRQoL	Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN
Hstological images	Nuclear segmentation in histological images using multiple attention system mixing
HuBERT	LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
Human Computer Interaction (HCI)	Explainable AI and trust, design methodologies to explore patients’ perspective
Human Pose Estimation	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Human sleep	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Human-centered computing	Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED
human-computer interaction	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
Hybrid Methods	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
hyper-response	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
I
ICD Classification	ICD code assignment from clinical text: impact of document composition
ICD-10 Codes	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
ICU	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
ICU data	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
image harmonization	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
image prediction	Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
Image Processing	A Transformer-Based Anomaly Detection System for OCT Image Embeddings
Image Quality	A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding
Image Segmentation	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy Nuclear segmentation in histological images using multiple attention system mixing Automating Tissue Segmentation and Quantification for Wound Healing Assessment Automatic detection of pleural plaques presence in asbestos-exposed individuals
Image Synthesis	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Image Translation	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin
In silico validation	Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures
in-silico	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
Incentives	Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach
infant pain detection	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds
Information Extraction	AI-driven Lung-RADS Classification on CT Reports
Infrared image	Infrared breast image segmentation using deep neural networks on thermographic images
inmersiveness	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform
inpainting	CT Sinogram inpainting for truncation artifact correction and Field-of-view extension
Instance Segmentation	Towards Automated Placental Screening: Instance Segmentation in Clinical Images Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
Insulin pens	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Interaction Detection	Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder
Interactive Visualization	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Interactome	Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis
interdisciplinarity	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study
International Cooperation	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Interoperability	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
Interpretability	Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker
Intervention	Exploring causal modeling to enhance diabetes prediction and management
Interventions	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
K
k-mer Features	Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance
k-Nearest Neighbors	Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples
Kidney Cancer	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
KMeans	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
Knowledge Distillation	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Knowledge Graph	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Knowledge Transfer	Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence
Koedam scale	Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods
KUB Radiographs	A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
L
Language Models	ICD code assignment from clinical text: impact of document composition
large language mode	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds
Large language model	Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections Generative-AI Solutions for Connecting Seniors and Healthcare Providers
Large Language Model (LLM)	Abbreviation Identification and Expansion in Real-World Clinical Narratives
Large Language Models	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
Large Language Models (LLMs)	AI-driven Lung-RADS Classification on CT Reports
Large Vessel Occlusion	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Legislation	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Lesion	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Lesion's area	BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale
Lesion's dimensions	BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale
Link Prediction	Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph
Lipodystrophy detection	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
liquid-feed forward network	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation
liver cirhosis	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Liver Transplantation	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Living lab	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
LLM	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
LLMs	Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation
Local breathing abnormalities	Graph Neural Networks For The Localization Of Breathing Abnormalities
Long-Term Dilated-Conformer	LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
Longitudinal data	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Low-Cost EEG	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Lung Cancer	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging AI-driven Lung-RADS Classification on CT Reports Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Lung-RADS	AI-driven Lung-RADS Classification on CT Reports
M
M/EEG	Advances on Real Time M/EEG Neural Feature Extraction
Machine Learning	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline AI-Driven Survival Prediction in Pancreatic Cancer Machine learning prediction of heart health status from mobile PPG measurements Improving Diabetic Retinopathy classification using class imbalance correction techniques Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Machine learning techniques	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
Magnetic Resonance Imaging	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
MAMBA	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
mammography	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Measurement	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Medical Claims	Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models
Medical documentation	An embedding-based method for processing medical audio into structured reports A comparative analysis of AI-based solutions for clinical documentation
Medical Education	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation Current Situation of Serious Games to Support Ecuadorian Health
Medical emergency calls	Automated Coding of French Emergency Calls Using BERT
medical image analysis	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique
Medical image classification	Adapting a Segmentation Foundation Model for Medical Image Classification
medical image processing	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
Medical Image Segmentation	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
Medical Images	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications
Medical Imaging	FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models
Medical language models	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
medical report annotation	Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections
medical term extraction	Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections
Medicine	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline
MedSAM	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Mel-spectrogram	LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
melanoma	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images
Mental Disorder Prediction	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Mental Health	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
metabolism	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
Methodology	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
mHealth	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
microbiota	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
Microsoft Kinect	Remote Monitoring of Rehabilitation Exercises Through Motion Assessment
Microvascular Decompression (MVD)	Intraoperative Absolute Depth Estimation in MVD Surgery
Mild cognitive impairment	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
MIMIC IV	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
MIMIC-IV database	Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database
Mixup Loss	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms
Mobile Computing	Automated Regulatory Classification of Mobile Medical Apps
Mobile Health	Automated Regulatory Classification of Mobile Medical Apps
Model Explainability	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Molecular docking	Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures
Mortality	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Motion analysis	Remote Monitoring of Rehabilitation Exercises Through Motion Assessment
Motion recognition	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
motor quantification	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
motor tasks	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
movement quality assessment	An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
MRI	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
MRI Radiomics	Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
Multi-Modal	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Multi-Task Learning	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Multimodal AI	Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models
Multimodal Image Fusion	Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique
Multimodal Learning	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
multiparametric MRI	Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
Multiple Instance Learning	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
MultiStaining	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
Multivariate Time Series	Graph Neural Networks For The Localization Of Breathing Abnormalities Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
N
Natural Language Processing	Automated Regulatory Classification of Mobile Medical Apps An embedding-based method for processing medical audio into structured reports A comparative analysis of AI-based solutions for clinical documentation A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare Automated Coding of French Emergency Calls Using BERT
Natural Language Processing (NLP)	AI-driven Lung-RADS Classification on CT Reports Abbreviation Identification and Expansion in Real-World Clinical Narratives
neonatal pain	Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
NER	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes
Network medicine	Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
network medicne	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
network proximity	Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis
Neural Cellular Automata	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
Neural feature	Advances on Real Time M/EEG Neural Feature Extraction
neural networks	Nuclear segmentation in histological images using multiple attention system mixing Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data Augmented Speech Generalization in Parkinson’s disease detection
Neurofeedback	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment ANT - Advancing Neurofeedback (in Tinnitus) Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users Advances on Real Time M/EEG Neural Feature Extraction
Neurological Diseases	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
neuronavigator	Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
no-code	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
Node Classification	Graph Neural Networks For The Localization Of Breathing Abnormalities
Non Parametric Copulas	Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
novel speech therapy program delivery	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
Nuclei Instance Segmentation	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
O
Object Detection	Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
Obstructive Sleep Apnea (OSA)	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
OHDSI	An embedding-based machine learning solution for medical concept mapping
Older adults healthcare	Generative-AI Solutions for Connecting Seniors and Healthcare Providers
OMOP CDM	An embedding-based machine learning solution for medical concept mapping
OMOP Common Data Model	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
Onconanotomy	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture
Ontology	Ontology Similarity Prediction: UMLS Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Open Source	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Open-source	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations
optimized weights	A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding
Oral diagnosis	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Oral Epithelial Dysplasia	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Organ Allocation	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Out of Distribution	Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples
P
pain classification	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds
pain manikin	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
pain measurement	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
pain prediction	Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Pancreatic Cancer	AI-Driven Survival Prediction in Pancreatic Cancer
panoramic radiography	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Parkinson’s disease	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos Augmented Speech Generalization in Parkinson’s disease detection
pathological speech analysis	Augmented Speech Generalization in Parkinson’s disease detection
Pathway-based approach	Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation
Pathway-based methods	Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis
Patient and Public Involvement	Explainable AI and trust, design methodologies to explore patients’ perspective
patient generated health data	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
Patient representation learning	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
Patient stratification	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Patient-centered	Machine learning prediction of heart health status from mobile PPG measurements
Patient-provider communication	Generative-AI Solutions for Connecting Seniors and Healthcare Providers
pattern analysis	Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer
pattern and association rule mining	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Pediatric cardiology	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Pediatric diabetes	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Performance	Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging
perfusion disorders	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
peripheral artery disease	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
persistent homology	Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Personalized Care	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
PET	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin
Phase correlation	Automatic calibration for CT bed stitching based on Fourier-Mellin
photoplethysmogram	Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
Photoplethysmography	Machine learning prediction of heart health status from mobile PPG measurements
pHRI	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Physiological signal processing	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Pima Indians Diabetes Database	Exploring causal modeling to enhance diabetes prediction and management
Pixel-Based Anchors	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Placenta	Towards Automated Placental Screening: Instance Segmentation in Clinical Images
Plane-wave imaging	Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding
platform	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing
Pleural plaques	Automatic detection of pleural plaques presence in asbestos-exposed individuals
polymyalgia	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
polyp segmentation	Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Pose Estimation	Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
Posterior atrophy	Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods
Postpartum PeriodComputer	Towards Automated Placental Screening: Instance Segmentation in Clinical Images
Power Spectral Density	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
PPDP	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Pre-hospital care	Automated Coding of French Emergency Calls Using BERT
Prediction	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
prediction entropy	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
Predictive models	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
preprocessing	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
Presence detection	Automatic detection of pleural plaques presence in asbestos-exposed individuals
Principal component analysis	Enhancing Pulmonary Nodule Localization based on Latent Representations
Privacy	Benchmarking institutions’ health outcomes with clustering methods
Privacy by Design	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
Privacy Preservation	A Federated Random Forest Solution for Secure Distributed Machine Learning
Privacy-by-design	ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy
Proactive Computing	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation
Prostate Cancer	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
protein	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
protein sequences	Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer
Protein structure prediction	Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures
Protein-ligand interaction	Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures
Proton Therapy	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Psychiatry	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes
psychology	MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker
Public Health	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data
Public Health Surveillance	Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Pulmonary nodule localization	Enhancing Pulmonary Nodule Localization based on Latent Representations
PySyft	A Federated Random Forest Solution for Secure Distributed Machine Learning
Q
quantum computing	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
quantum machine learning	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
quanvolutional neural networks	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
R
Radiology	Explainable AI and trust, design methodologies to explore patients’ perspective
radiology report generation	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
Radiomics	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data Ensemble of radiomics and ConvNeXt for breast cancer diagnosis Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
radiotherapy	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
RAG	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Random Forest	A Federated Random Forest Solution for Secure Distributed Machine Learning
Rare Diseases	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
RCT	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
RDF	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
real time M/EEG	ANT - Advancing Neurofeedback (in Tinnitus)
real-world data	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
recurrent	CT Sinogram inpainting for truncation artifact correction and Field-of-view extension
Recurrent Neural Networks	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Region of interest	Infrared breast image segmentation using deep neural networks on thermographic images
Regression	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
regular expressions	Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach
Regulatory Frameworks	Automated Regulatory Classification of Mobile Medical Apps
Rehabilitation	Current Situation of Serious Games to Support Ecuadorian Health
rehabilitation technology	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform
Reliability	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
remote health monitoring	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
remote photoplethysmography	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
Remote Sensing	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data
Renal stone	A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
Representation learning	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
residual inhibition	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
ResNet	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images
ResNet-18	Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique
retina	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Retinopathy	A Transformer-Based Anomaly Detection System for OCT Image Embeddings
reusable components	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
Risk Assessment	ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Robot-Assisted Rehabilitation	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Robotic Manipulator	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Rotation matrix	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
S
Safety	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
SAM	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Sarcoma	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Scanning electron microscopy	3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture
Scientific visualization	Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED
Screening	Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach
segment anything	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
Segmentation	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications 3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale Infrared breast image segmentation using deep neural networks on thermographic images
Segmentation foundation model	Adapting a Segmentation Foundation Model for Medical Image Classification
Self-supervised learning	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Semantic Segmentation	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Semantic Similarity	Ontology Similarity Prediction: UMLS
Semantic technologies	Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Semi-Supervised Learning	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
Sensor Networks	Graph Neural Networks For The Localization Of Breathing Abnormalities
Sentence Embeddings	Ontology Similarity Prediction: UMLS
serious exergames	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform
Serious Games	VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare Current Situation of Serious Games to Support Ecuadorian Health
SHAP	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data AI-Driven Survival Prediction in Pancreatic Cancer
SHAP value	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Siamese Neural Network	Ontology Similarity Prediction: UMLS
Sickle cell disease	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
signal processing	Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
simulation	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
simulation tools	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations
Single cell RNA-seq	Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis
Skin cancer	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale
skin lesions	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images
Sleep Deprivation	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
sleep stages	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study
Sleep Therapy Optimization	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Sleepiness	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
SNP Analysis	Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance
Software engineering	ANT - Advancing Neurofeedback (in Tinnitus)
SPARQL	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Spatio-Temporal Graph Convolutional Neural Network	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
Spatiotemporal Reasoning	Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Spectral Coherence	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Spectrogram	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Speech Recognition	An embedding-based method for processing medical audio into structured reports
stability analysis	Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept
Standard Deviation of Lane Position	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
stenosis	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
stimulation duration	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
Stitching	Automatic calibration for CT bed stitching based on Fourier-Mellin
Stroke	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Structure-Based Virtual Screening	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
Study Platform	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Sub-optimal ovarian response	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
substance use disorders	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
Suicide Prevention	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
super-resolution	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
supervised classification	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Support vector classifiers	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants
Support vector machines	A comparative analysis of AI-based solutions for clinical documentation
Surgical Images	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Surgical Pathology	Towards Automated Placental Screening: Instance Segmentation in Clinical Images
Surgical Video Analysis	Intraoperative Absolute Depth Estimation in MVD Surgery
Surrogate outcomes	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
Survival Prediction	AI-Driven Survival Prediction in Pancreatic Cancer
symptom prediction	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation
Synthetic data	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
synthetic data generation	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
synthetic image generation	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
Systems engineering	ANT - Advancing Neurofeedback (in Tinnitus)
T
TabTransformer	Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance
Tangent Space Mapping (TSM)	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
target-based approaches	Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer
teeth segmentation	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
teledermatology	Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
telemedicine	Remote Monitoring of Rehabilitation Exercises Through Motion Assessment Automating Tissue Segmentation and Quantification for Wound Healing Assessment
Telerehabilitation	Remote Monitoring of Rehabilitation Exercises Through Motion Assessment An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
Temporal embeddings	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
TENS	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation
Terms—glioblastoma multiforme	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
thematic analysis	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
Thoracic imaging	Automatic detection of pleural plaques presence in asbestos-exposed individuals
Three-dimensional	3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
time-series forecasting	MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker
Tinnitus	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Topology	Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Traditional Machine Learning	Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance
Training	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Transfer Learning	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney Diseases Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning
Transformers	Ontology Similarity Prediction: UMLS Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology A Transformer-Based Anomaly Detection System for OCT Image Embeddings
Treatment	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
treatment outcomes	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Triple Negative Breast Cancer	Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
truncation	CT Sinogram inpainting for truncation artifact correction and Field-of-view extension
Trust	Explainable AI and trust, design methodologies to explore patients’ perspective
tuberculosis	Detection of active and latent tuberculosis with explainable deep learning ensembles
tumor segmentation	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
tumor-educated platelets	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
Type 1 Diabetes	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes
U
U-Net	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications Nuclear segmentation in histological images using multiple attention system mixing A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
Ultrafast imaging	Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding
UMLS Metathesaurus	Ontology Similarity Prediction: UMLS
unbalanced learning	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Uncertainty	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach
Uncertainty Quantification	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
UNet	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Unsupervised Learning	Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture
Unsupervised stratification	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
Upper-Limb Rehabilitation	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Urology	A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
User-Centered	Explainable AI and trust, design methodologies to explore patients’ perspective
user-centered design	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
UX design	ANT - Advancing Neurofeedback (in Tinnitus)
V
validation	Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis
Variable Admittance Control	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Variational autoencoder	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Vascular tortuosity	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
video analysis	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
video segmentation	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
viral pneumonia	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
virtual reality	VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform
Virtual Scanning	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin
Vision	Towards Automated Placental Screening: Instance Segmentation in Clinical Images
Vision Language Model	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
vision mamba	Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Vision Transformer	Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
Vision-Language Models	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models
Visual Attention	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Visual Question Answering	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
visualization	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Visualization application domains	Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED
vital signs	Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Voice-to-text	A comparative analysis of AI-based solutions for clinical documentation
voxel spacing	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
W
weakly supervised semantic segmentation	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
wearable device	Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
wearable devices	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept
Wearable ECG device	Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering
Wearable sensors	Machine learning prediction of heart health status from mobile PPG measurements
web interface	An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
Whole-Slide Images	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Workshop	Explainable AI and trust, design methodologies to explore patients’ perspective
wound assessment	Automating Tissue Segmentation and Quantification for Wound Healing Assessment
X
X-ray	Detection of active and latent tuberculosis with explainable deep learning ensembles
XAI	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Z
Zero Shot Learning	Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples
zero-shot learning	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study

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