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ORCIDHC@AI*IA+HYDRA 2025: Bologna, Italy
- Pierangela Bruno
, Francesco Calimeri, Francesco Cauteruccio, Mauro Dragoni, Fabio Stella, Giorgio Terracina:
Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning - First International Joint Conference, HC@AIxIA+HYDRA 2025, Bologna, Italy, October 25-26, 2025, Proceedings. Communications in Computer and Information Science 2830, Springer 2026, ISBN 978-3-032-16707-1
Rehabilitation & Human-Robot Interaction
- Oktay Ozan Güner, Sergio Consoli, Vicenç Gómez, Mario Ceresa:
Differentially Private Fine-Tuning of Self-Supervised Learning Models for Human Activity Recognition on Wearables. 3-20 - Mihir Mulye, Stefan Conrad, Stefan Knecht:
Using Multi-modal Generative Models for Creating Speech Therapy Material. 21-34
AI for Diagnosis & Medical Imaging
- Diogen Babuc, Teodor-Florin Fortis:
MultiH-EU: An AI-Driven Decision Support System for Multi-disease Diagnosis. 37-49 - Lorenzo Mannocci, Francesca Naretto, Lucia C. Passaro, Anna Monreale:
RAG-Enhanced LLMs for Interactive Explainability in Clinical Decision Support Systems. 50-63 - Francesco Barbato, Filippo Sorichetti, Emanuele Ielo, Lorenzo Megliola:
KaiMed: A Hybrid Multi-Agent AI Platform for Clinical Reasoning and Cross-Specialty Discovery. 64-77 - Andrea Santomauro, Giorgio Leonardi, Luigi Portinale:
Comparing Different Positional Encodings for the Interpretation of Medical Images. 78-89
Short Communications
- Simone Bartucci, Edoardo De Rose, Alessandro Quarta, Rossella Quarta, Alessia Donata Camarda, Alberto Polimeni, Francesco Calimeri:
Designing a Multimodal Dataset for AI-Based Prognosis in STEMI. 93-98 - Riccardo Fidanza, Daniele Meli, Emilia Maggio:
Automatic Explainable Progress Prediction of Wet Age-Related Macular Degeneration. 99-104 - Christel Sirocchi, Damiano Verda:
Explaining Medical Time Series Classification Through Boundary-Aware Feature Analysis. 105-119 - Yvon K. Awuklu, Meghyn Bienvenu, Katsumi Inoue, Vianney Jouhet, Fleur Mougin:
A Logic-Based Framework for Inferring Medical Events (Extended Abstract). 120-125 - Alice Bernasconi, Federico Pirola, Alessio Zanga, Antonio Balordi:
When 'Scarce' Becomes 'Too Scarce': The Rare Diseases Drama. 126-131 - Marek Landowski, Anna Landowska:
Application of Nonlinear Autoregressive Neural Network for Prediction of HIV Infections in Poland. 132-137 - Philippe Rambaud, Arpad Rimmel, Imen Trabelsi, Justine Zini, Alexandra Wodecki, Emmanuelle Motte Signoret, François Jouen, Joanna Tomasik, Jean Bergounioux:
SEDformer: Path Signatures and Transformers to Predict Newborns Movement Symmetry. 138-151 - Giorgio Leonardi, Stefania Montani, Manuel Striani:
LLM-Assisted Conformance Checking for Medical Processes. 152-163
Temporal Data Modeling and Analysis
- Federico Pirola, Fabio Stella, Marco Grzegorczyk:
LUME-DBN: Full Bayesian Learning of DBNs from Incomplete Data in Intensive Care. 167-181 - Fatemeh Barazesh Morgani, Erin Goddard, Gustavo Batista:
Using Temporal Features to Improve Accuracy in Multivariate Pattern Analysis (MVPA) of M/EEG Data. 182-195 - Théo Dupuy, Binbin Xu, Stéphane Perrey, Jacky Montmain, Abdelhak Imoussaten:
Relevance-Aware Thresholding in Online Conformal Prediction for Time Series. 196-217 - Simone Bartucci, Edoardo De Rose, Francesca Filice, Francesco Calimeri, Simona Perri:
Hidden Rhythms: an Embedding Framework for Downstream Tasks Validated on ECG Data. 218-230 - Angelo Ziletti, Leonardo D'Ambrosi:
Generating Patient Cohorts from Electronic Health Records Using Two-Step Retrieval-Augmented Text-to-SQL Generation. 231-242 - Ann-Kathrin Dörr, Tina Schmidt, Jens Schoth, Ivana Kraiselburd, Folker Meyer:
Which Metadata Matters? Evaluating Predictive Features for Environmental Time Series. 243-253
Causal Modeling and Data Reasoning
- Luigi Colucci Cante, Mariangela Graziano, Irene Siragusa, Beniamino Di Martino, Roberto Pirrone:
An Automatic Alignment Strategy for Medical Ontologies: the MedPix 2.0 Case Study. 257-269 - Alessio Zanga, Francesca Graziano, Giuseppe Citerio, Paola Rebora, Stefania Galiberti, Shubhayu Bhattacharyay, David K. Menon, Ewout W. Steyerberg, Fabio Stella:
Learning a Causal Model for Intracranial Pressure in Patients with Traumatic Brain Injury. 270-282 - Alessandro Bregoli, Francesco Bellocchio, Luca Neri, Fabio Stella:
Survival Hidden Markov Model. 283-295 - Luca Laboccetta, Francesco Calimeri, Davide Iacopino, Salvatore Iiritano, Marta Maria, Simona Perri, Massimiliano Ruffolo, Giorgio Terracina:
An Approach Leveraging Deep Learning and Stream Reasoning for Dynamic Task Assignments Balancing Productivity and Well Being. 296-307 - Marina Andric, Mauro Dragoni:
Machine Learning and Statistical Insights Into Hospital Stay Durations: The Italian Healthcare Administrative Data Case. 308-320
Patient management
- Rinu Elizabeth Paul, Lucas Deichsel, Tanja Schultz:
Depth Sensor Based AI-Services for Nursing Homes. 323-335 - Ron Franco, Avi Segal, Kobi Gal:
A Hybrid Inductive-Deductive Approach for Resource-Efficient Suicide Risk Detection in Counseling Conversations. 336-351 - Justin Armanini, Fabio Stella:
Triage Discrimination: Myth or Reality? 352-365
Neuro-symbolic and Multi-modal Learning
- Marco Locatelli, Arjen Hommersom, Roberto Clemens Cerioli, Daniela Besozzi, Fabio Stella:
Expert-Guided POMDP Learning for Data-Efficient Modeling in Healthcare. 369-383 - Gianluca Apriceno, Marina Segala, Giovanni Valer, Nicola Muraro, Vincenzo Netti, Paulo Vitor de Campos Souza, Mauro Dragoni:
A Hybrid Evolutionary Fuzzy Neural Approach for Maternal Health Risk Prediction. 384-397 - Veselka Boeva, Alexander J. O. Ojutkangas, Shahrooz Abghari:
Multi-view Multi-instance Learning for Health Recovery Monitoring in Older Adults. 398-411 - Simone Caruso, Carmine Dodaro, Marco Maratea, Cinzia Marte, Marco Mochi:
An LBBD Approach for Solving the Chemotherapy Treatment Scheduling Problem. 412-425
Large Language Models in Healthcare
- Matteo Magnini, Gianluca Aguzzi, Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Mauro Dragoni, Sara Montagna:
Automated Machine Learning to Enhance Knowledge Retrieval in Retrieval-Augmented Generation Pipelines. 429-440 - Marco Bolpagni, Leonardo Sanna, Simone De Carli, Silvia Gabrielli, Mauro Dragoni:
Exploring Large Language Models as Digital Health Coaches: A Role-Play Approach to Brief Action Planning. 441-452 - Gianluca Apriceno, Tania Bailoni, Mauro Dragoni:
Assessing Temporal Reasoning of Large Language Models on Structured Temporal Clinical Data. 453-466 - Doriana Armenise, Ginevra Battello, Andrea Brunello, Lorenza Driul, Angelo Montanari, Elisa Rizzante, Nicola Saccomanno, Andrea Salvador, Serena Xodo, Silvia Zermano:
Unified Peripartum Database with Natural-Language-to-SQL Capabilities at Udine University Hospital: Design and Prototype. 467-480 - Leonardo Sanna, Marco Bolpagni, Valentina Fietta, Simone De Carli, Mattia Franzin, Giorgia Gavioli, Lorenzo Gios, Susanna Pardini, Anna Elena Nicoletti, Silvia Rizzi, Silvia Gabrielli, Mauro Dragoni:
Are We Ready for Multi-agent Systems to Deliver Structured Mental Health Support? Lessons from Adapting Self-Help+ Intervention. 481-494
Healthcare applications
- Jasmin S. Saxer, Isabella Maria Aigner, Luise Linzmeier, Andreas Weiler, Kurt Stockinger:
Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks. 497-509 - Stefania Costantini, Giovanni De Gasperis, Pasquale De Meo, Francesco Gullo, Alessandro Provetti:
Multi-agent Dynamic Resource Allocation: A Reinforcement Learning Approach. 510-522
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