IAEA Launches Global Webinar Series on Artificial Intelligence for Medical Physicists
29 December 2025
The IAEA has launched a six-month global webinar series on AI in radiation medicine, drawing over 3200 registrants from across the world. "We had a record number of registrations for the session[s] and for the whole series, which really highlights the growing interest in the artificial intelligence (AI) topic and the importance of sharing knowledge across our community," said Ioannis Delakis, a medical physicist at Queensland Health in Australia and the lead country coordinator for a regional technical cooperation project on medical physics in the Asia Pacific, during the inaugural webinar on 14 October.
Strengthening skills for AI in radiation medicine
"As the integration of AI into medical imaging and radiation therapy continues to grow, ensuring the safe and effective implementation of AI-based systems is critical," explained IAEA medical physicist Olivera Ciraj Bjelac, one of the technical officers leading the series. "For their part, medical physicists play a central role in realising the benefits of AI-based systems for patients and healthcare systems. Within multidisciplinary teams of health professionals, they support the clinical implementation and validation of the AI systems in clinical environments."
To support this work, the IAEA's human health programme has published guidance on roles, responsibilities, education and training for medical physicists. The Agency has also delivered workshops with the Abdus Salam International Centre for Theoretical Physics (ICTP), is developing additional guidance, and will soon release guidelines on clinical implementation of medical imaging-based AI systems.
A new resource: 12-part AI webinar series
Building on these public resources, the IAEA designed a dedicated 12-part series to help medical physicists introduce imaging-based AI systems into clinical practice. Organized by the IAEA's human health and technical cooperation programmes under a regional project to improve the quality and safety of radiology services, sessions run every two weeks from October 2025 to April 2026. Experts from Germany, India, the Netherlands, and the United States lead interactive presentations and live discussions.
- Introduction to AI: historical background and terminology
- Roles and responsibilities of medical physicists in AI
- Basic and advanced statistical methods
- Ethical and regulatory considerations relevant to AI systems
- Machine learning models, training and validation
- Deep-learning architecture
- Data management
- Clinical implementation of imaging-based AI systems
- Diagnostic radiology procedures utilizing AI
- Imaging-based AI systems in radiotherapy
- Radiomics for medical physicists
- Medical physicists' roles in the clinical validation of AI technologies in imaging
By the end of the series, participants are expected to promote safe, efficient, ethical and responsible use of AI in their settings. "Participating in the IAEA AI webinar series has deepened my understanding of how medical physicists can lead the safe and effective integration of AI into clinical practice," reflected Noramaliza Mohd Noor, associate professor and medical physicist at Universiti Putra Malaysia. "The sessions have broadened my perspective on the future of our field and strengthened my commitment to enhancing patient-centred care through innovation."
How to join
Interested attendees can register on the IAEA Human Health Campus. Recordings of each session will be uploaded to the Campus and available on demand.
Looking ahead: IDOS 2026
AI in dosimetry, among other topics, will feature at the International Symposium on Standards, Applications and Quality Assurance in Medical Radiation Dosimetry (IDOS 2026), to be held in Vienna, Austria from 5-9 October 2026. Medical physicists, radiation metrologists, and researchers working in radiation dosimetry are invited to submit an abstract by 2 April 2026.
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