Prof. Dimitrios I. Fotiadis

Prof. of Biomedical Engineering, University of Ioannina / BRI – FORTH
Head of the Unit of Medical Technology and Intelligent Information Systems
Editor in Chief IEEE Journal of Biomedical and Health Informatics

Title: Leveraging Trust in Healthcare Through a Robust AI Trustworthiness Assessment Framework

Abstract

Ensuring patient data privacy and security in the healthcare sector is particularly challenging due to the complexities which are introduced in the measurement of AI trustworthiness. This creates significant barriers to building and maintaining trust in AI among patients. While most active academic research on AI trustworthiness has focused on the algorithmic properties of AI-based models, advancements in algorithmic research alone are insufficient for building trustworthy AI systems. In this work, we present the FAITH Project (Fostering Artificial Intelligence Trust for Humans towards the optimization of trustworthiness through large-scale pilots in critical domains) and particularly FAITH’s AI Trustworthiness Assessment Framework which envisages to ensure that AI systems in healthcare adhere to stringent data security protocols and ethical standards, promoting fairness and bias mitigation. The framework aims to promote interoperability and foster the integration of AI into existing healthcare applications through the testing, measurement and optimization of risks associated with AI trustworthiness. To do so, the framework builds upon the NIST (National Institute of Standards and Technology) AI risk management framework (RMF) and upon the ENISA (European Union Agency for Cybersecurity) guidelines to achieve trustworthiness by design, considering the healthcare stakeholders intelligence and users’ engagement to facilitate broader adoption. Through this strategy, the proposed framework aims to leverage trust in AI-driven solutions, fostering wider acceptance and utilization in healthcare. A preliminary case study is finally presented with a specific focus on prostate segmentation as a practical implementation of AI in medical imaging.

Biography

Prof. Dimitrios I. Fotiadis, received the Diploma degree in chemical engineering from the National Technical University of Athens, Athens, Greece, and the Ph.D. degree in chemical engineering and materials science from the University of Minnesota, Minneapolis. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of Foundation for Research and Technology Hellas, Biomedical Research Institute. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Boston. He has coordinated and participated in more than 250 R&D funded projects (in FP6, FP7, H2020, Horizon Europe and national Projects), being the coordinator (e.g. INSILC, TAXINOMISIS, HOLOBALANCE, CARDIOCARE, DECODE, etc.) and Technical coordinator (e.g. SMARTOOL, KARDIATOOL, TO_AITION, etc.). He is the author or coauthor of more than 400 papers in scientific journals, 600 papers in peer-reviewed conference proceedings, and more than 50 chapters in books. He is also the author/editor of 30 books. His work has received more than 28,000 citations (h-index=75). He is IEEE EMBS Fellow, EAMBES Fellow, Fellow of IAMBE, Fellow of AIAA, member of the IEEE Technical Committee of Biomedical Health Informatics, Editor in Chief of IEEE Journal of Biomedical and Health Informatics, Member of the Editorial Board in IEEE Reviews in Biomedical Engineering, Associate Editor for IEEE Open Journal in Engineering in Biology and Medicine and Computers in Biology and Medicine. His research interests include multiscale modelling of human tissues and organs, intelligent wearable/implantable devices for automated diagnosis, processing of big medical data, machine learning, sensor informatics, image informatics, and bioinformatics. He is the recipient of many scientific awards including the one by the Academy of Athens. He is the co-founder of PD Neurotechnology Ltd, UK.