About IAEA
The International Atomic Energy Agency is the world's central intergovernmental forum for scientific and technical co-operation in the nuclear field. It works for the safe, secure and peaceful uses of nuclear science and technology, contributing to international peace and security and the United Nations' Sustainable Development Goals.Activities by IAEA
IAEA Human Health Series Publication on Clinical implementation of medical imaging-based artificial intelligence tools – Guidelines for medical physicists
Global Not ApplicableThis publication will provide guidance for the implementation of imaging-based AI systems in clinical settings for Clinically Qualified Medical Physicists (CQMP). It will address product selection, installation, quality management, and clinical evaluation.
Activity Type Policy/Regulatory GuidanceInternational Network on Innovation to Support Operating Nuclear Power Plants (ISOP)
Global Not Applicable
The ISOP Artificial Intelligence Working Group (AI WG) is a cross-departmental initiative involving 6 IAEA divisions and structured into 7 specialised task forces covering human factors, cybersecurity, benchmarking, partnerships, trustworthiness, capacity building, and emerging technologies. The programme advances the safe and effective use of AI, machine learning, and large language models across the nuclear lifecycle through technical guidance, expert coordination, and international collaboration.
Activities include multiple technical meetings, workshops, webinars, and consultancy meetings, supporting both foundational knowledge and practical applications. A key output is the IAEA Nuclear Energy Series publication (NR-T-1.26) on AI deployment in nuclear power. Additional contributions include OECD/NEA benchmarking exercises and regulatory simulation cases, as well as at least 5 major international events scheduled in 2026, strengthening global coordination and best practices for AI in the nuclear sector.
AI-assisted review of satellite imagery and site maps
Global Not ApplicableUse of Machine Learning to assist in the detection and characterization of IAEA nuclear safeguards-relevant infrastructure in satellite imagery, reducing manual effort and prompting the analyst to focus on areas of potential change. Use of modern multimodal models and segmentation techniques to recognize buildings and attributes in unstructured site maps and convert them into a vectorized, georeferenced format suitable for further analysis.
Activity Type AI Tools/SolutionsMachine learning for detector signal discrimination
GlobalThis project assesses how machine learning on FPGA devices can help discriminate neutrons from gammas in a detector. The IAEA contributed measurements for the study, which aims to improve quantitative results and enable real-time discrimination.
Activity Type Research/Reports/AssessmentsAI Tools/Solutions