Recording →

Date: 14 October 2025, 2:00 PM (Vienna time) 

Presenters: Ehsan Samei (USA), Laurens Topff (Netherlands) and Annalisa Trianni (Italy)

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 third session will explore how AI can assist healthcare professionals in enhancing the justification and optimization of radiation protection in medical exposures in diagnostic and interventional radiology. Practical examples will be highlighted throughout the session.

Learning objectives

1. Describe how AI can aid justification and clinical decision support in diagnostic and interventional radiology.
2. Identify the meaningful use of AI tools in procedure and image enhancement, patient dosimetry and dose optimization to improve patient protection.
3. Recognize the role of AI in quality assurance, including automated quality control.

About the presenters

Laurens Topff is a radiologist and Medical Information Officer at the Netherlands Cancer Institute in Amsterdam. He combines his expertise in diagnostic radiology and imaging informatics to advance the implementation of artificial intelligence solutions in clinical practice. He is actively involved in professional societies including the European Society of Radiology and contributes to various international initiatives transforming healthcare through AI innovation.

Ehsan Samei is the Rice Distinguished Professor at Duke University, Durham, NS, USA, holding five departmental affiliations. He directs the National Institute of Health-sponsored Center for Virtual Imaging Trials and co-directs the Food and Drug Administration-sponsored Triangle Center of Excellence in Regulatory Science and Innovation. His expertise includes clinical physics, quantitative imaging and the relevant use of AI. His passion is to position medical physics and in silico methods to generate and accelerate patient-centric care through innovative design and compassionate practice.  He has authored over 400 refereed papers and four books, is a fellow of five professional societies and received the 2022 Marie Sklodowska-Curie Award by the International Organization of Medical Physics. 

Annalisa Trianni is the Chief Medical Physicist at Azienda Provinciale per i Servizi Sanitari (provincial health authority), Italy. Her primary field of work is medical imaging, with a focus on dose and image quality optimization for different X ray imaging modalities and a special interest for interventional radiology and computed tomography. She also works as a radiation protection expert. She is the Chair of the scientific committee of the Italian Association of Medical Physics and Director of the School of Physics in Medicine, Caldirola. Dr Trianni is chair of the Digital Imaging and Communications in Medicine Standard Committee, chair of its working group WG28 on physics and a member of working group WG02 on projection radiography and angiography.