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This book constitutes the proceedings of the First International Joint Conference on Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning, HC@AIxIA+HYDRA 2025, which took place in Bologna, Italy, during 25-26 October 2025.
The 40 full papers included in this book were carefully reviewed and selected from 61 submissions. They were organized in topical sections as follows: Rehabilitation and Human-Robot Interaction; AI for Diagnosis and Medical Imaging; short communications; temporal data modeling and analysis; causal modeling and data reasoning; patient management; neur-symbolic and multi-modal learning; large language models in healthcare; and healthcare applications.
List of contents
.- Rehabilitation & Human-Robot Interaction.
.- Di erentially Private Fine-Tuning of Self-Supervised Learning Models for Human Activity Recognition on Wearables.
.- Using multi-modal generative models for creating speech therapy material.
.- AI for Diagnosis & Medical Imaging.
.- MultiH-EU: An AI-Driven Decision Support System for Multi-Disease Diagnosis.
.- RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems.
.- KaiMed: A Hybrid Multi-Agent AI Platform for Clinical Reasoning and Cross-Specialty Discovery.
.- Comparing di erent positional encodings for the interpretation of medical images.
.- Short Communications.
.- Designing a Multimodal Dataset for AI-Based Prognosis in STEMI.
.- Automatic Explainable Progress Prediction of Wet Age-Related Macular Degeneration.
.- Explaining medical time series classi cation through boundary-aware feature analysis.
.- A Logic-Based Framework for Inferring Medical Events.
.- When `Scarce Becomes `Too Scarce: The Rare Diseases Drama.
.- Application of Nonlinear Autoregressive Neural Network for Prediction of HIV Infections in Poland.
.- SEDformer: Path Signatures and Transformers to Predict Newborns Movement Symmetry.
.- LLM-Powered Conformance Checking for Medical Processes.
.- Temporal Data Modeling and Analysis.
.- LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care.
.- Using Temporal Features to Improve Accuracy in Multivariate Pattern Analysis (MVPA) of M/EEG Data.
.- Relevance-Aware Thresholding in Online Conformal Prediction for Time Series.
.- Hidden Rhythms: an Embedding Framework for Downstream Tasks Validated on ECG Data.
.- Generating patient cohorts from electronic health records using two-step retrieval-augmented text-to-SQL generation.
.- Which Metadata Matters? Evaluating Predictive Features for Environmental Time Series.
.- Causal Modeling and Data Reasoning.
.- An automatic alignment strategy for medical ontologies: the MedPix 2.0 case study.
.- Learning a Causal Model for Intracranial Pressure in Patients with Traumatic Brain Injury.
.- Survival Hidden Markov Model.
.- Patient s Privacy vs. Public Health: Can AI Solve the Hippocratic Dilemma?.
.- An approach leveraging Deep Learning and Stream Reasoning for dynamic task assignments balancing productivity and well being.
.- Machine Learning and Statistical Insights into Hospital Stay Durations: The Italian EHR Case.
.- Patient management.
.- Depth Sensor based AI-services for Nursing Homes.
.- A Hybrid Inductive-Deductive Approach for Resource-E cient Suicide Risk Detection in Counseling Conversations.
.- Triage Discrimination: Myth or Reality?.
.- Neuro-symbolic and Multi-modal Learning.
.- Expert-Guided POMDP Learning for Data-E cient Modeling in Healthcare.
.- A Hybrid Evolutionary Fuzzy Neural Approach for Maternal Health Risk Prediction
.- Multi-View Multi-Instance Learning for Health Recovery Monitoring in Older Adults.
.- An LBBD approach for Solving the Chemotherapy Treatmen Scheduling Problem.
.- Large Language Models in Healthcare.
.- Automated Machine Learning to Enhance Knowledge Retrieval in Retrieval-Augmented Generation Pipelines.
.- Exploring Large Language Models as Digital Health Coaches: A Role-Play Approach to Brief Action Planning.
.- Assessing Temporal Reasoning of Large Language Models on Structured Temporal Clinical Data.
.- Uni ed Peripartum Database with Natural-Language-to-SQL Capabilities at Udine University Hospital: Design and Prototype.
.- Are we ready for multi-agent systems to deliver structured mental health support? Lessons from adapting Self-Help+ intervention.
.- Healthcare applications.
.- Query Carefully: Detecting the Unanswerables in Te
Summary
This book constitutes the proceedings of the First International Joint Conference on Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning, HC@AIxIA+HYDRA 2025, which took place in Bologna, Italy, during 25-26 October 2025.
The 40 full papers included in this book were carefully reviewed and selected from 61 submissions. They were organized in topical sections as follows: Rehabilitation and Human-Robot Interaction; AI for Diagnosis and Medical Imaging; short communications; temporal data modeling and analysis; causal modeling and data reasoning; patient management; neur-symbolic and multi-modal learning; large language models in healthcare; and healthcare applications.
