SPECIAL SESSION #09
Artificial Intelligence and eXtended Reality for Smart Healthcare Metrology
ORGANIZED BY
Nicola Capece
Nicola Capece
University of Basilicata, Italy
Antonella Iuliano
Antonella Iuliano
University of Basilicata, Italy
Gilda Manfredi
Gilda Manfredi
University of Basilicata, Italy
Maura Mecchi
Maura Mecchi
University of Basilicata, Italy
SPECIAL SESSION DESCRIPTION
This special session focuses on the emerging role of Artificial Intelligence (AI) and eXtended Reality (XR) as key enabling technologies for smart healthcare metrology within the Industry 4.0 paradigm. The rapid evolution of XR is transforming human–machine interaction by blurring the boundaries between digital and physical worlds, while AI enhances immersive environments through intelligent perception, adaptive content generation, and personalized interaction.
In healthcare metrology, the synergy between AI and XR opens new opportunities to improve measurement accuracy, uncertainty management, traceability, and usability across clinical, biomedical, and rehabilitation contexts. AI-driven capabilities such as object, spatial, and gesture recognition, intelligent virtual agents, and data-driven decision support can be integrated into XR-based measurement and calibration workflows, enabling realistic simulations, real-time feedback, and intelligent supervision.
The special session aims to bring together researchers and practitioners to present methodologies, frameworks, and applications that leverage AI-enhanced XR to advance smart, reliable, and user-centered healthcare measurement systems, while also addressing challenges related to validation, interoperability, and regulatory compliance.
ABOUT THE ORGANIZERS
Nicola Capece is an Assistant Professor (tenure-track) at the University of Basilicata, Italy. His research focuses on Real-Time/Offline Rendering, Deep Learning, Computer Graphics, eXtended Reality (XR), and Human-Computer Interaction (HCI). He has authored 49 publications, including international journal papers and conference proceedings. He co-organized notable events such as the Workshop on Evaluation and Assessment in Software Engineers' Education (2023), Eurographics Italian Chapter (2023), Special Sessions and Workshop for IEEE MetroXRAINE (2022–2024). Additionally, he has contributed to three editions of the XR&AI Summer School (2022–2024). He is an associate editor for a Virtual Reality journal and a guest editor for several special issues. He also actively participates in organizing and program committees for international conferences. His projects focus on XR and HCI applications, including cultural heritage storytelling, virtual dressing rooms, 3D modeling in VR, and gesture recognition systems.
Antonella Iuliano is an Assistant Professor of Medical Statistics at the Department of Health Sciences of the University of Basilicata, Italy. She obtained her PhD in Mathematics in 2012 from the Department of Mathematics and Informatics at the University of Salerno, Italy. Her academic career includes post-doctoral research at the Institute for Applied Computing (IAC-CNR) in Naples, Italy, as well as multiple research appointments at the University of Cambridge, UK, where she worked as both a Visiting Researcher and Research Assistant. She also served as Senior Statistician in the Bioinformatics Core at the Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Italy. Her current research activity is strongly focused on Medical Statistics and Biostatistics, with an emphasis on the development and application of advanced statistical methodologies for healthcare and biomedical research. In particular, her work integrates statistical modeling, machine learning, and artificial intelligence to support precision medicine, clinical decision-making, and the analysis of complex, high-dimensional biomedical data. Her research interests span applications in medicine, biology, and environmental health, with a specific focus on methodological rigor, uncertainty quantification, and data-driven approaches in healthcare. She is actively involved in national and international research projects within the life sciences domain, and her work has been widely published in leading international journals and conference proceedings.
Gilda Manfredi is a Research Fellow at the University of Basilicata, Italy. Her research focuses on Deep Learning, Computer Graphics, eXtended Reality (XR), and Human-Computer Interaction (HCI). Her projects explore the application of Artificial Intelligence in creating, animating, and manipulating 3D graphic content for use in XR environments. She authored 17 publications for international journals and conferences. She co-organized events such as the International Conference Smart Tools and Applications in Graphics 2023 (STAG), Eurographics Italian Chapter, 10th Edition, held at the Casa delle Tecnologie Emergenti in Matera, Italy, November 16–17, 2023, and the XR&AI International Summer School (eXtended Reality and Artificial Intelligence) 2024, held at the Casa delle Tecnologie Emergenti in Matera, Italy. She has been a program committee member of several international conferences and workshops.
Maura Mecchi is a PhD student in Mathematics and Computer Science at the University of Basilicata, Italy, supported by a PNRR fellowship. Her research focuses on the development and application of statistical and mathematical models for survival analysis and machine learning, with particular attention to complex and high-dimensional data in biomedical settings. She has actively participated in several national and international conferences and advanced schools in mathematics for artificial intelligence, data science, and computational biology.
