Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning
Springer International Publishing (Verlag)
978-3-032-16707-1 (ISBN)
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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.
.- 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
| Erscheint lt. Verlag | 29.3.2026 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | Approx. 520 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Schlagworte | AI for diagnosis • Artificial Intelligence • clinical decision support • Decision Support Systems • deductive systems • Digital Health • Healthcare Applications • Human-Robot Interaction • Hybrid Models • Inductive Systems • Knowledge Representation • Large Language Models in Healthcare • Medical Imaging • multi-modal learning • Neuro-Symbolic AI • Neuro-symbolic Integration • Patient Management • Personalized medicine • Rehabilitation • Temporal Data Modeling and Analysis |
| ISBN-10 | 3-032-16707-8 / 3032167078 |
| ISBN-13 | 978-3-032-16707-1 / 9783032167071 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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