19th EURADOS School: Artificial intelligence and machine learning in ionizing radiation dosimetry

Scope

The rapid emergence of Artificial Intelligence (AI) and Machine Learning (ML) technologies in recent years has changed many aspects of our personal and professional lives, and that trend seems likely to accelerate in the future. Included in that scope is the field of radiation dosimetry, where there is the possibility for the techniques to impact in a multitude of different ways. For example, AI has the potential to revolutionize the design and development of alternative means for measuring, calculating, analysing and quantifying radiation exposures, in applications that could involve both workers and the public in medical, industrial, nuclear, and emergency settings. Despite this, however, the principles and conceivable benefits of AI are still not always widely understood by all, and it is therefore important that researchers and dosimetrists alike do not get left behind a knowledge gap. The 19th EURADOS School aims to build and improve this understanding.

The EURADOS School will provide introductory sessions on AI and ML in general, followed by presentations on their applications within radiation dosimetry. Overall topics will include:

• Introduction to AI and ML, and tutorial on basic mechanisms
• Common pitfalls and quality assurance in AI
• Large language models for radiation protection and health care
• AI in medical applications
• AI in nuclear and radiological protection
• Possible futures of AI in radiation dosimetry
• AI activities within EURADOS

Scientific committee

• Jonathan Eakins (UK Health Security Agency – UKHSA, United Kingdom)
• Paolo Ferrari (Italian National Agency for New Technologies, Energy and Sustainable Economic Development - ENEA, Italy)
• Weibo Li (Federal Office for Radiation Protection – BfS, Germany)
• Hans Rabus (Physikalisch-Technische Bundesanstalt – PTB, Germany)
• Teemu Siiskonen (Radiation and Nuclear Safety Authority - STUK, Finland)
• Filip Vanhavere (Belgian Nuclear Research Centre – SCK CEN, Belgium

Event accreditation

We have requested the EURADOS School to be accredited by EBAMP as CPD event for Medical Physicists. More information will be distributed later.
Please, register for this event via the EURADOS AM2026 registration platform.
A registration for 1-day attendance (on-site School attendance only) is possible.

Registration and payment for the EURADOS School latest on 30th January 2026
Full Fee: 125 €
Reduced Fee: 100 € (for participants from EURADOS sponsoring institutions)