AI Webinar – June 12, 2025
Location: Online Webinar (Zoom)
Date: June 12, 2025
Time: 16:00-18:00 CET
Price: Free
Preliminary Programme
- Paul Quinn (VUB): Impact of EU AI Act for AI Nuclear Medicine studies
The first speaker will be Paul Quinn (VUB) (https://lsts.research.vub.be/paul-quinn) who will talk about the Impact of EU AI Act in our NM context, showing the implications for health and liability, as well as the constraints now imposed by this regulation in the context of multicentre clinical trials.
- Thomas Guiot (H.U.B.): PSMA registry: utility for running IA algorithms
The second speaker will be Thomas Guiot (H.U.B), who will talk about the PSMA registry: utility for running IA algorithms.
Biographies
Paul Quinn
Paul is active in pursuing a number of his research interests as a research professor at LSTS. This includes in areas such as data protection, privacy issues and problems related to stigmatization and discrimination. He is part of the Health and Aging Unit at LSTS where he co-ordinates research on such issues. Paul has developed considerable experience in privacy and data protection issues in the area of health care delivery and scientific research. He has been successful in securing participation for LSTS and the VUB in a large number of research projects as an expert on legal and ethical issues related to privacy and data protection issues. Paul is also a member of the University’s Ethics Board for Research in the Social Sciences.
Paul has also been active in research into issues associated with stigmatization and anti-discrimination approaches. He has been particularly active in developing a normative argument concerning the threats posed by stigmatizing expressions and language when used by the state. His PhD thesis was entitled “Stigmatizing State Expressions and the law”. He has published a monograph on these issues with Routledge in 2015.
Before joining the LSTS team Paul worked in the legal industry in the UK. He trained as a Barrister (Bar of England and Wales) and is a member of Greys Inn. He holds degrees in European and International Law (LLM, Institute of European Studies, Brussels), Law (MA, University Sheffield) and Biochemistry, (University of Sheffield).
Thomas Guiot
Thomas joined the Jules Bordet Institute in 2010 after completing his biomedical engineering degree at the Université Libre de Bruxelles (ULB). Initially working as an Imaging Engineer, he later took on broader responsibilities by overseeing ORILAB, the Institute’s core laboratory for managing imaging data in clinical studies. In this role, he leads the development of imaging protocols, ensures data anonymization and quality control, and coordinates analyses with clinical teams. He has also been teaching “Informatique appliquée à l’imagerie médicale” at the Ilya Prigogine Institute since 2024, introducing future technologists to digital imaging, image processing, and hospital IT systems.
As Chief Engineer in Medical Physics, he manages a small team responsible for radiotherapy equipment, software support, and data workflows in nuclear medicine. Alongside these duties, he is actively involved in the Medical Physics research group, contributing to AI-driven projects focused on machine learning, deep learning, predictive modeling, and automated image analysis. He has co-authored several publications on metabolic imaging and recently began a PhD exploring the application of AI in prostate cancer.