Artificial Intelligence in Radiation Protection of Patients: Diagnostic and therapeutic nuclear medicine
Webinar
27 November 2025, 2:00 PM CET (Vienna time)
Presenters: Hongyoon Choi (Republic of Korea), Kuangyu Shi (Switzerland) and Dimitris Visvikis (France)
Moderator: Chadia Rizk (IAEA)
About the webinar series
As artificial intelligence (AI) continues to revolutionize healthcare, its potential to enhance patient safety and improve radiation protection practices is becoming increasingly evident.
This webinar series aims to explore how AI-driven tools and technologies can support and advance the safe and effective use of radiation in medical settings. Tailored for a broad audience of healthcare professionals — including clinicians, radiologists, radiation oncologists, nuclear medicine physicians, technologists, medical physicists, hospital administrators and regulators — each session will feature expert led presentations followed by a live discussion. Participants can deepen their understanding and exchange ideas with leading professionals in the field.
The series consists of seven one hour sessions designed to provide concrete insights and practical knowledge on the intersection of AI and radiation protection.
This fourth session will explore how AI can assist healthcare professionals in enhancing the justification of medical exposures and optimization of protection and safety in diagnostic and therapeutic nuclear medicine. Practical examples will be highlighted throughout the session.
Learning objectives
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Identify how AI can aid justification and clinical decision support.
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Explore the use of AI tools in procedure and image enhancement, patient dosimetry and dose optimization to improve patient protection.
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Recognize the role of AI in quality assurance, including automated quality control.
About the presenters
Hongyoon Choi is a clinical associate professor in the Department of Nuclear Medicine at Seoul National University Hospital, Republic of Korea. He is also the co-founder and chief Technical Officer of Portrai Inc., a biotech company established in 2021. Prof. Choi’s research focuses on advancing artificial intelligence and computational modelling for molecular imaging and theranostics. His work aims to integrate multi-omics data with medical imaging to enhance precision diagnostics and targeted therapy. He has pioneered innovative deep learning–based approaches for PET image analysis and developed computational frameworks that bridge molecular imaging with translational research and drug development. His contributions are widely recognized for shaping the future of AI-driven nuclear medicine.
Kuangyu Shi is the Chief Medical Physicist and Head of the Lab for Artificial Intelligence and Translational Theranostics at the Department of Nuclear Medicine, University of Bern, Switzerland. Additionally, he is a senior lecturer at the Computer-aided Medical Procedure, School of Computation, Information & Technology at the Technical University of Munich, Germany. His research is centered on advancing artificial intelligence and computational modelling techniques for nuclear medicine imaging, dosimetry and therapy, aiming to link the outcomes with underlying pathophysiological processes. Additionally, he is dedicated to developing both in vivo and ex vivo experimental methods, pushing the boundaries of microscopic nuclear imaging.
Dimitris Visvikis is a director of research with the National Institute of Health and Medical Research and Director of the Medical Image Processing Lab in Brest, France. His research focuses on improvement in PET/CT image quantitation for specific oncology applications through the development of methodologies for detection and correction of respiratory motion, 4D PET image reconstruction, tumour radiomics multiparametric and multimodality modelling, as well as the development of computer assisted interventional radiotherapy and Monte Carlo based radiotherapy treatment dosimetry applications. Recently, he has been developing AI methodologies based on deep learning for image reconstruction and analysis in multimodality imaging. He is the first Editor in Chief of the IEEE Transactions in Radiation and Plasma Medical Sciences, and recipient of the 2019 Richard F. Shea Distinguished NPSS Member Award, the 2020 Edward J Hoffman Award of the Society of Nuclear Medicine and Molecular Imaging, and the 2020IEEE Nuclear and Plasma Sciences Society and Nuclear Medical Imaging Steering Committee, Medical Imaging Technical Achievement Award.