IAEA webinar series on Artificial Intelligence for Medical Physicists
We are pleased to invite you to a series of webinars on artificial intelligence (AI) for medical physicists organized under IAEA Technical Cooperation Project RAS6109-Improving the Quality and Safety of Diagnostic and Interventional Radiology Services to Benefit Health Care by Enhancing the Status, Knowledge and Skills of Medical Physicists (RCA) and hosted by the Dosimetry and Medical Radiation Physics Section, Division of Human Health, IAEA.
As the integration of AI into medical imaging and radiation therapy continues to grow, ensuring its safe and effective implementation in clinical practice becomes increasingly critical. Given the essential role of medical physicists in the selection, deployment, and use of AI systems in clinical settings, this series of webinars aims to provide a comprehensive understanding of AI technologies. Its objective is to equip medical physicists with the knowledge necessary to support the introduction of imaging-based AI systems with the appropriate level of rigor and thoughtful consideration.
Tailored for medical physicists working in medical imaging and radiotherapy having interest in imaging-based AI systems, the sessions will feature expert-led presentations followed by a live discussion
Learning objectives
By the end of this series, participants will be able to:
- Understand the basis of AI in medical imaging and explain key concepts, terminology, and types of AI technologies relevant to medical imaging and radiation therapy.
- Understand a need for safe and effective integration of AI systems aligned with clinical needs and regulatory requirements and appropriate quality assurance to verify the performance and reliability of AI systems over time.
- Promote ethical and responsible use of AI.
Presenters
Maryellen L. Giger, Ph.D.
is the A.N. Pritzker Distinguished Service Professor of Radiology, Committee on Medical Physics, and the College at the University of Chicago, USA. She is also the Vice-Chair of Radiology (Basic Science Research) and the immediate past Director of the CAMPEP-accredited Graduate Programs in Medical Physics/ Chair of the Committee on Medical Physics at the University. She is a former president of the American Association of Physicists in Medicine (AAPM) and a former president of the SPIE (the International Society of Optics and Photonics), and was the inaugural Editor-in-Chief of the SPIE Journal of Medical Imaging. She is contact PI on the NIBIB-funded Medical Imaging and Data Resource Center (MIDRC; midrc.org), which has ingested more than 500,000 medical imaging studies, with currently more than 190,000 imaging studies publicly available for use by AI investigators. For over 30 years, she has conducted research on computer-aided diagnosis, including computer vision, machine learning, and deep learning, in the areas of breast cancer, lung cancer, prostate cancer, brain injury, lupus, and bone diseases, and COVID-19. She has more than 300 peer-reviewed publications and has more than 30 patents, and has mentored over 120 graduate students, residents, medical students, and undergraduate students.
Andre Dekker, Ph.D.
is a full professor of Clinical Data Science and board certified Medical Physicist at Maastro Clinic, Maastricht, The Netherlands. His previous positions include Manager of Research and Education, head of IT and head of Medical Physics. He has served on advisory boards of organizations, including the European Society for Radiotherapy & Oncology, MD Anderson, Luxemburg National Research Fund and Peter Munk Cardiac Centre. His main research areas are: building global FAIR data sharing infrastructures; using AI to learn health state prediction models from this data; and applying AI driven prediction models to improve health. His Clinical Data Science group spans multiple entities including Maastricht University, Maastricht University Medical Centre and Maastro Clinic. He has published over 300 peer-reviewed publications and patents and mentored more than 50 PhD students.
Alex Zwanenburg, Ph.D.
is a researcher at the National Center for Tumor Diseases (NCT/UCC) Dresden, Germany, and OncoRay – National Center for Radiation Research in Oncology, Dresden Germany. His main research interest is the clinical translation of imaging-based AI tools. He founded the Image Biomarker Standardisation Initiative which has released two widely accepted reference standards for making radiomics software reproducible. He has published over 45 peer-reviewed articles (h-index 28), developed several open-source software packages, and mentored 14 PhD students. He teaches foundations of medical imaging and data science fundamentals.
Ashish Kumar Jha, Ph.D.
is Assistant Professor and Scientific Officer at Tata Memorial Hospital, Parel, Mumbai, Maharashtra, India. He has two decades of experience in nuclear medicine as a clinical medical physicist, scientist, and educator. He has contributed as a task force member to several key organizations, including the Quality Council of India (QCI), the Bureau of Indian Standards (BIS), the National Commission of Allied and Healthcare Professions (NCAHP), the Atomic Energy Regulatory Board (AERB) India, the Ministry of Health and Family Welfare of the Government of India, and the National Cancer Grid (NCG). For several years, he has also served in various capacities within the Society of Nuclear Medicine in India (SNMI), the Nuclear Medicine Physicist Association in India (NMPAI), the Nuclear Cardiology Society of India (NCSI), and the Indian College of Nuclear Medicine (ICNM). His main research areas are radiomics, the implementation of artificial intelligence in oncology, medical instrumentation, and radiation dosimetry. He has published over 150 peer-reviewed articles/abstracts and mentored more than 100 postgraduate students.
Standard episode agenda
- Welcome
- Introduction of speaker(s)
- Presentation of the episode topic
- Q&A session
- Announcement of next episode
Webinar series registration link:
Topics and schedule
Episode 1: Introduction to AI, historical background and terminology
Presenter: Alex Zwanenburg and Maryellen L. Giger
?? Date: 14 October 2025
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/r086f79aa65ec2bc6f31ceee0986572f5
Episode 2: Roles and responsibilities of medical physicists in AI
Presenter: Andre Dekker
?? Date: 28 October 2025
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/rb49feccfd0a6dbbec47d2c9b3b811f17
Episode 3: Overview of basic and advanced statistical methods
Presenter: Maryellen L. Giger and Alex Zwanenburg
?? Date: 11 November 2025
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/rb7f26fb54a14340114b5704ea7019d17
Episode 4: Ethical and regulatory considerations relevant to the AI systems
Presenter: Maryellen L. Giger
?? Date: 25 November 2025
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/r34e6f9be29c857fbef6f7bbcee00babc
Episode 5: Machine learning models, training and validation
Presenter: Ashish Jha
?? Date: 9 December 2025
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/r81a7c16fa45f8d94eb592a0f198e4e72
Episode 6: Deep learning architecture
Presenter: Alex Zwanenburg
?? Date: 13 January 2026
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/r95ec8b16de9c425618742eb7bb581332
Episode 7: Data management
Presenter: Andre Dekker
?? Date: 27 January 2026
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/rc396977657bc65c03cc525d8ca5558b9
Episode 8: Clinical implementation of imaging-based AI systems
Presenter: Alex Zwanenburg and Andre Dekker
?? Date: 10 February 2026
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/r907cb8f2574339972a958558ce144f91
Episode 9: Overview of diagnostic radiology procedures utilizing AI
Presenter: Maryellen L. Giger
?? Date: 24 February 2026
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/rf5d0a039c7f66dc7f1d31b295d41594f
Episode 10: Overview of imaging-based AI systems in radiotherapy
Presenter: Andre Dekker
?? Date: 10 March 2026
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/ra195a58155c2e991a55cd565041086c1
Episode 11: Radiomics for medical physicists
Presenter: Maryellen L. Giger and Ashish Jha
?? Date: 24 March 2026
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/r6b57e0a650a35d09e1c42adbd17a0d39
Episode 12: Medical physicist role in clinical validation of AI technologies in imaging
Presenter: Andre Dekker
?? Date: 7 April 2026
? Time: 12:00 -13:30 (Vienna Time)
?? Platform: Webex
https://iaea.webex.com/weblink/register/r14817388fda08fcfa5fc0f42ce49f292