THEMATIC SESSION #09

Sabatina Criscuolo

National Research Council of Italy (CNR), STIIMA

• sabatinacriscuolo@cnr.it

Daniele Spoladore

Dept. of Theoretical and Applied Sciences, Insubria University, Italy

• daniele.spoladore@uninsubria.it

Konstantinos Kotis

Dept. of Cultural Technology and Communication, University of the Aegean, Greece

• kotis@aegean.gr

Vlasios Kasapakis

Dept. of Cultural Technology and Communication, University of the Aegean, Greece

• v.kasapakis@aegean.gr

Health 5.0 envisions intelligent, interconnected care ecosystems where AI-powered technologies support clinicians, patients, and caregivers in the continuous management of chronic diseases. This thematic session focuses on AI-driven Decision Support Systems (DSS) enabling predictive, personalized, and context-aware care for conditions such as metabolic, neurological, and respiratory disorders. The session welcomes contributions on data-driven, knowledge-driven, and hybrid AI approaches for early diagnosis, monitoring, and real-time adaptive interventions in smart environments.

Special attention is given to human-centric and caregiver-centered solutions, including AI tools that enhance decision-making, training, and remote support across clinical and home settings. The session also explores AI–XR synergies for disease assessment, rehabilitation, chronic disease self-management, and immersive training through virtual patients and simulations. To ensure safe and reliable adoption, contributions that address explainability (XAI) for clinical interpretability, metrological validation and performance assessment, and compliance with emerging regulations (e.g., AI Act, MDR) are welcome.

Topics of interest include, but are not limited to:

• AI-driven Decision Support Systems for disease diagnosis, monitoring, and management;
• Knowledge-driven and symbolic AI approaches in healthcare;
• Data-knowledge fusions for enhancing reliability in DSS;
• Explainable AI (XAI) techniques for clinicians, patients, and caregivers;
• AI for real-time adaptive interventions in smart environments;
• Validation, reliability assessment, and metrological approaches for AI-based medical systems;
• AI and XR for the diagnosis of diseases/disabilities and health condition prediction;
• XR (and AI-powered) applications for the management of chronic health conditions;
• AI-XR virtual patients and simulations for caregiver training;
• AI-Driven Multimodal Interfaces in XR for healthcare;
• Human-AI collaboration for the engineering of patients-related ontologies and KGs.

Sabatina Criscuolo received her M.S. degree in Biomedical Engineering and Ph.D degree from the University of Naples Federico II in 2021 and 2025, respectively. She is a research fellow at the Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing of the Italian National Research Council. Her research interests include artificial intelligence techniques in healthcare applications and processing of biomedical signals.

Daniele Spoladore received a Ph.D. in Computer Science from the Theoretical and Applied sciences Dept. of the Insubria University, Varese, in 2022. He teaches Databases and AI Ethics in the same University and conducts research for the Italian National Research Council. His research focuses on AI and knowledge engineering, ontology applied to health, Ambient Assisted Living, active ageing, and rehabilitation applications.

Konstantinos Kotis is currently a tenure track associate professor at the University of the Aegean, Dept. of Cultural Informatics and Communication, leading the Semantic Web of Things research group at Intelligent Systems Lab. His research interests include Knowledge Engineering, Semantic Web technologies, Semantic Web of Things, and conversational/generative AI. He has published more than 150 papers in peer-reviewed international journals and conferences (Google Scholar h-index 25, citations>3000) and served as reviewer and PC member in several journals and conference events. He has also contributed to several national and European projects from different roles/positions.

Vlasios Kasapakis is a tenure-track Associate Professor at the University of the Aegean, Department of Cultural Technology and Communication. His research interests include Extended Reality, Immersive and Pervasive Games, and XR applications in culture, heritage, and education. He has published more than 90 papers in peer-reviewed international journals, books, and conference proceedings and has served as reviewer and program committee member in several journals and international conference events. He has also contributed to numerous national and European research projects in various roles, including scientific coordination and senior researcher.