HC@AIXIA 2024: 3RD AIXIA WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR HEALTHCARE (HC@AIXIA 2024)

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

7
7 Tesla MRA	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
A
Accuracy-Safety Tradeoff	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Adaptive Metropolis	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Adolescents and young adults	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
Adversarial Attacks	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Adversarial Examples	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Adversarial Machine Learning	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Adversarial Training	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
AI Fairness	Fairness Of AI Models in vector embedded Chest X-ray representations
AI in Healthcare	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
AI Model Optimization	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
AI Model Robustness	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Alzheimer-Perusini's disease progression	A physics-based view of brain-network alteration in neurological disease
anomaly detection	Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
Answer Set Programming	Nuclear Medicine Rescheduling Problem: A Logic-based Approach
Anxiety and depression	Detecting anxiety and depression in dialogues: a multi-label and explainable approach
Artificial Intelligence	AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
Artificial Intelligence in Healthcare	Bridging AI and Healthcare: Trustworthy and Transparent Diagnostic Solutions with Informed Machine Learning
assistive technology	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
autism	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
B
Bayesian computation	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Bayesian Model Averaging	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Bayesian networks	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Blood assignment problems	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Blood banking	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Blood demand	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Blood emergency	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Blood expiration	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Blood importation	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Blood wastage	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Blueprint Personas	Blueprint Personas in Digital Health Transformation
Breast Cancer	Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images
Breast cancer survivors	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
breast imaging	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
C
Cardiovascular diseases	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
Causal discovery	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Causal networks	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
Certified Information	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
Chain-of-Thought	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
ChatGPT	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Chest Xray	Fairness Of AI Models in vector embedded Chest X-ray representations
Chronic Disease Self-management	Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
CLARITY Framework	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Classification	Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images
Classification Models	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Clinical decision support	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Clinical decision-support system	Detecting anxiety and depression in dialogues: a multi-label and explainable approach
Clustering	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
communication	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Comorbidity	Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI
Complex Image	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Convolutional Neural Network	Encoding Methods Comparison for Stress Detection
Coronary Artery Disease	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Counterfactual explanations	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
COVID-19 vaccination	Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI
D
data augmentation	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Decision support	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Deductive Reasoning	IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Deep Learning	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images Features selection throught autoencoder filtering and DeepShap: an iterative algorithm AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss IDADA: A Blended Inductive-Deductive Approach for Data Augmentation Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Diagnostic Accuracy and Patient Care	Bridging AI and Healthcare: Trustworthy and Transparent Diagnostic Solutions with Informed Machine Learning
Dialogues	Risk Communication in Healthcare: The Management of Misunderstandings
diffusion models	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Digital Health	Risk Communication in Healthcare: The Management of Misunderstandings Nuclear Medicine Rescheduling Problem: A Logic-based Approach Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab
disabilities	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
domain generalization	Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
dyscalculia	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
E
education	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
educational interventions	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Electrocardiogram	Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
electronic health records	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Emergency classification	Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals
encoder-decoder neural network	Capturing the dynamics of microbial interactions through individual-specific networks
Explainable AI	Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI Features selection throught autoencoder filtering and DeepShap: an iterative algorithm
eXplainable Artificial Intelligence	Detecting anxiety and depression in dialogues: a multi-label and explainable approach
F
facial images	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Federated learning	Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Foundation models	Fairness Of AI Models in vector embedded Chest X-ray representations
Functional network	A physics-based view of brain-network alteration in neurological disease
Fuzzy Logic	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
G
generative adversarial models	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Genomics	Features selection throught autoencoder filtering and DeepShap: an iterative algorithm AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Gestational diabetes mellitus	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
H
healthcare	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model Blueprint Personas in Digital Health Transformation
Hybrid Approaches	IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Hyperthermia	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Hypotesis test construction	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
I
image-to-image translation	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
imaging	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
individual-specific network	Capturing the dynamics of microbial interactions through individual-specific networks
Inductive Reasoning	IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Informed Machine Learning	Bridging AI and Healthcare: Trustworthy and Transparent Diagnostic Solutions with Informed Machine Learning
Intelligent agent	Blueprint Personas in Digital Health Transformation
Intelligent systems	Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals
intensive care unit	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
K
K-operator	A physics-based view of brain-network alteration in neurological disease
Knowledge Graph	Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab
L
Large Language Models	Detecting anxiety and depression in dialogues: a multi-label and explainable approach Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
Large-scale Living Lab	Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab
learning	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Logic Programming	Nuclear Medicine Rescheduling Problem: A Logic-based Approach
longitudinal clustering	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
M
Machine Learning	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models Detecting anxiety and depression in dialogues: a multi-label and explainable approach Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Maximum Intensity Projection	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
Medical AI Studies	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Medical Chatbot	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
Medical Image Classification	Similarity-based positional encoding for enhanced classification in medical images
Medical Imaging	Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Fairness Of AI Models in vector embedded Chest X-ray representations AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
Metabolic-associated Fatty Liver Disease	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Metaheuristics	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Metropolis Adjusted Langevin Algorithm	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
microbial neighborhood dynamic	Capturing the dynamics of microbial interactions through individual-specific networks
Missing data	Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Misunderstanding	Risk Communication in Healthcare: The Management of Misunderstandings
Mixed Training Dataset	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Model Performance Evaluation	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Model Safety	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
MR Angiograms	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
MR Image Reconstruction	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
MR Thermometry	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Multi-label classification	Detecting anxiety and depression in dialogues: a multi-label and explainable approach
multi-modal data	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Multi-modality	Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
multi-view clustering	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Multiple sources	Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
N
Natural Language Processing	Detecting anxiety and depression in dialogues: a multi-label and explainable approach
network representation learning	Capturing the dynamics of microbial interactions through individual-specific networks
neurodiversity	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Non-Functional Requirements in AI	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
O
obesity subtyping	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Omics data	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Ontology	Blueprint Personas in Digital Health Transformation
P
patient trajectories	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Pattern Classification	Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals
Personalized dynamic treatment	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
personalized learning	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
personalized network	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Phonocardiogram	Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
Positional Encoding	Similarity-based positional encoding for enhanced classification in medical images
predictive models	A physics-based view of brain-network alteration in neurological disease
Predictive Models and Explainability	Bridging AI and Healthcare: Trustworthy and Transparent Diagnostic Solutions with Informed Machine Learning
Prior knowledge	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Q
Query response uncertainty	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
R
Rare diseases	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Reinforcement Learning	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
Reproducibility	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Research Evaluation	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
ResNet-18	Encoding Methods Comparison for Stress Detection
Resource-Efficient Model Tuning	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Retrieval-Augmented Generation	Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients "Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
Risk Communication	Risk Communication in Healthcare: The Management of Misunderstandings
S
Safety in AI	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
Segmentation	Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images
sepsis	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Shrinkage Prior in Survival Analysis	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
social inclusion	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
social skills development	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Soft tissue sarcoma	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Specific Learning Disorders (SLD)	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Stacked Ensemble	Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI
Survival Analysis	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Survival data	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Symbolic Knowledge Integration	Bridging AI and Healthcare: Trustworthy and Transparent Diagnostic Solutions with Informed Machine Learning
T
technological assistance	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Time Series Encoding	Encoding Methods Comparison for Stress Detection
Transfer learning	Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
Treatment guidelines	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
Trust	Blueprint Personas in Digital Health Transformation
U
Unsupervised machine learning	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
V
Vector Embedding	Fairness Of AI Models in vector embedded Chest X-ray representations
Vessel Segmentation	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
VGG-16 architecture	Encoding Methods Comparison for Stress Detection
Vision Transformers	Similarity-based positional encoding for enhanced classification in medical images

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