Overview

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. 

Full Product Details

Author:   Pierangela Bruno ,  Francesco Calimeri ,  Francesco Cauteruccio ,  Mauro Dragoni
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032167071

ISBN 10:   3032167078
Pages:   525
Publication Date:   17 April 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table 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 Text-to-SQL Tasks. .- Multi-agent Dynamic Resource Allocation: A Reinforcement Learning Approach.

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