INTERNATIONAL MEDICAL PHYSICS WEEK (IMPW) 2025

We will celebrate the International Medical Physics Week (IMPW) 2025 the week from May 5 to May 9. This year’s agenda aims to highlight both the potential and the challenges of AI-driven innovations in medical physics

The week opens with a debate titled “AI vs. Human Expertise in X-ray Dosimetry”.  A similar debate, scheduled for Tuesday, will explore AI vs. Human Expertise in Radiotherapy (RT).  Midweek, the focus shifts to educational and training aspects of AI. With AI’s growing role in medical physics education, this session will address innovative learning methodologies. Thursday’s webinar will explore AI and its ethical and legal implications in medical physics.  The final session of the week, on Friday, will focus on AI in Nuclear Medicine.  

This year’s focus on AI in X-ray dosimetry, radiotherapy, education, ethics, and nuclear medicine offers a comprehensive exploration of the potential applications, opportunities and challenges of medical physics AI applications. IOMP ExCom is currently working to organize the events of the Week.


John Damilakis

IOMP President

The President’s Speech will be uploaded soon. Please check back later.

This information will be updated soon. Please check back later.

AI vs. Human Expertise in X-ray Dosimetry


Monday, 5 May 2025 at 12 pm GMT; Duration 1 hour

Register here

Organizer: John Damilakis, IOMP President

Panelists: John Damilakis, M. Mahesh, Madan Rehani

Abstract:

Artificial Intelligence (AI) is rapidly transforming medical imaging and dosimetry. However, the role of human expertise remains critical for the accurate, safe, and ethical application of AI-driven tools. This debate, AI vs Human Expertise in X-ray Dosimetry, will critically examine the strengths and limitations of AI in medical X-ray dose estimation, dose optimization, quality assurance, and clinical decision-making. Panelists will identify the key advantages AI offers in dose estimation and optimization, recognize the potential risks, biases, and interpretability challenges associated with AI-driven dosimetry, discuss the irreplaceable contributions of human judgment, and explore strategies for integrating AI-powered dosimetry into clinical practice.

Learning Objectives:

  1. To understand the capabilities of AI in X-ray dosimetry
  2. To analyze the limitations and challenges of AI in X-ray dosimetry
  3. To evaluate the role of human expertise in X-ray dosimetry


Panelist 1:
John Damilakis, IOMP President

Dr. John Damilakis is a professor and director of the Department of Medical Physics, School of Medicine, University of Crete and director of the Department of Medical Physics of the University Hospital of Heraklion, Crete, Greece. He is the current President of the IOMP and was President of EFOMP, President of EURAMED, and President of the ‘Hellenic Association of Medical Physics’. His body of research work encompasses a wide range of research areas, including medical dosimetry, medical radiation protection, and the application of artificial intelligence in medical imaging. He has played significant roles as an editor, author, or co-author in several books within the field. Professor Damilakis has published 272 research articles listed on PubMed, accompanied by 10380 citations, and an h-index of 54 as documented on Google Scholar (February, 2025). He contributes to international initiatives, serving as an elected member of the ICRP Committee 3, Chair of the IUPAP AC4 and member of the steering committee of the ‘EuroSafe Imaging Campaign’. He has shared his expertise as a Visiting Professor, delivering lectures on medical dosimetry and medical radiation protection at Boston University in the United States.



Panelist 2:
M. Mahesh, IOMP Science Committee Chair

Dr. M. Mahesh is a Professor of Radiology and Cardiology at the Johns Hopkins University School of Medicine, Baltimore, MD, USA. Dr. Mahesh also has a joint appointment at the Johns Hopkins Bloomberg School of Medicine Department of Environmental Health. His research interests are in medical physics and imaging, particularly in areas of MDCT, interventional fluoroscopy and digital mammography. Prof. Mahesh has authored numerous articles and a textbook in MDCT technology and radiation doses in medical imaging and has lectured extensively in the U.S. and internationally. He has served on the editorial boards of several journals, including the Journal of the American College of Radiology, the Journal of the American Association of Physicists in MedicineAcademic Radiology, and RadioGraphics. He is currently the President of the AAPM, elected member of the ICRP and NCRP. Dr Mahesh is a fellow of AAPM, ACR, ACMP, SCCT and currently the associate editor of the Journal of American College of Radiology.



Panelist 3:
Madan Rehani, IUPESM President

Dr. Madan Rehani is Director, Global Outreach for Radiation Protection at the Massachusetts General Hospital, Boston, Professor of Radiology at Harvard Medical School, Boston, MA, and an adjunct professor at the Duke University Medical Center, Durham, NC, US. He was President, IOMP (2018- 2022) and is currently President IUPESM. He worked earlier for over 11 years at the IAEA, Vienna, Austria. He was professor and head of medical physics at the All India Institute of Medical Sciences (AIIMS), New Delhi, India, before joining the IAEA in 2001. He was also head of the WHO’s Collaborating Centre on Imaging Technology & Radiation Protection, which he established in 1997. Prof. Rehani is an Emeritus Member, ICRP, having been an active member for 24 years. He is the author of 9 Annals of ICRP. He is Senior editor Br J Radiology, Assoc Editor, Eur. J Medical Physics, was earlier Associate Editor Am J Roentgenology, and on editorial board of several journals. He has more than 200 publications, has written 40 chapters in books and edited 5 books.

AI vs. Human Expertise in Radiotherapy 

Tuesday, 6 May 2025 at 12 pm GMT; Duration 1 hour

Register here

Organizer: Eva Bezak, IOMP Vice President

Moderator: Eva Bezak

Debaters:
Jeorg Lehmann (against), Calvary Mater Hospital, Australia
Michael Douglass (for), Royal Adelaide Hospital, Australia

Title: AI and Personalized Medicine in Radiation Oncology: Enhancing or Replacing Medical Physicists

This debate examines the evolving role of artificial intelligence (AI) within the field of radiation oncology medical physics. While AI promises to enhance treatment planning and personalised radiotherapy, its integration raises important questions about the future dynamics of the medical physics profession.

Rather than posing a threat, AI is increasingly seen as a complementary tool that could support medical physicists by automating routine tasks and allowing them to focus on complex clinical and scientific decisions. However, the potential shift towards a more technology-driven approach invites a critical discussion on how to balance innovation with the irreplaceable value of human expertise.

This debate will explore whether AI serves as an empowering assistant to medical physics or if its advancement might eventually lead to a redefinition of traditional roles. We’ll examine how AI innovations can streamline tasks like image segmentation, treatment planning optimization, and quality assurance, thereby boosting workflow efficiency and accuracy. At the same time, the session will consider concerns that these advances might diminish the hands-on expertise and clinical decision-making central to medical physics.

Learning objectives:

  • Assess AI Integration: Understand how AI-driven tools are currently used to streamline tasks like image segmentation, treatment planning, and quality assurance.
  • Evaluate Impact on Expertise: Analyse how these innovations can complement clinical decision-making while addressing concerns about the potential loss of hands-on expertise.
  • Redefine Professional Roles: Discuss the evolving skill sets required in medical physics and explore the future balance between technology and human oversight in radiation oncology.

Panelist 1: Joerg Lehmann

Professor Joerg Lehmann is a Radiation Oncology Medical Physicist. He holds a PhD and is clinically accredited in Australia and the USA (DABR). Joerg works at Calvary Mater Newcastle, Australia as Principal Medical Physicist and Lead Physicist for Research. He is affiliated with the University of Sydney and the University of Newcastle, Australia and his research interests include dosimetry, quality assurance, image guidance for radiotherapy treatments and data mining.

Joerg is a fellow of the American Association of Medical Physics (AAPM) and a member of the several international working groups, including a joint task group of the AAPM and the European Society for Radiotherapy and Oncology (ESTRO) on “Performance validation of surrogate assessment systems in the context of medical physics applications (TG 360)”. He is member of the AAPM Global Research and Scientific Innovation Committee and Vice Chair of the Global Clinical Trials Subcommittee. Joerg is active in radiotherapy dosimetry audits, he works as quality assurance (QA) physicist for the Transtasman Radiation Oncology Group (TROG) and he has served as chair of the Global Quality Assurance of Radiation Therapy Clinical Trials Harmonisation Group (GHG), a collaborative group of international Radiation Therapy Quality Assurance (RTQA) Groups harmonizing and improving RTQA for multi-institutional clinical trials.

Joerg is a third generation photographer, holding Master of Photography and Photographic Craftsman degrees from the Professional Photographers of America (PPA). He has co-founded “Photography in Medical Physics” (PMP), a photography competition celebrating the joy and excitement of Medical Physics (www.photographyinmedicalphysics.com).  

Panelist 2: Michael Douglass

Michael Douglass is a principal medical physicist at SA Health and a medical physicist at Australian Bragg Centre for Proton Therapy at SAHMRI, with over 10 years of clinical and research experience in radiation oncology physics. He holds a PhD in Radiation Physics from the University of Adelaide and is certified by the Australasian College of Physical Scientists and Engineers in Medicine.

His research interests include Monte Carlo simulations, proton therapy, deep learning, and optical 3D scanning. He has published more than 30 peer-reviewed scientific papers in international journals and has received multiple awards, such as the 2021 ACPSEM Boyce Worthley Early Career Award and the 2021 Simpson Prize for Cancer Research. He is also an associate professor at the University of South Australia and a skilled scientific illustrator, producing 2D and 3D figures for publications and books. He is passionate about advancing the field of medical physics and improving patient outcomes.

Innovating Medical Physics Education with Artificial Intelligence

Wednesday, 7 May 2025 at 12 pm GMT; Duration 1 hour

Register here

Organizer: Arun Chougule, IOMP Education and Training Committee Chair

Moderator: Madan Rehani

Speakers: Issam El Naqa and Maryellen L. Giger



Part 1: Leveraging Artificial Intelligence in Training Next-Generation Medical Physicists


Abstract:

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing various disciplines, including medical physics in both diagnostic and therapeutic areas. This presentation will showcase the current applications of AI/ML in medical physics and their impact on the profession. In light of this, we will highlight the necessity of updating current curricula to incorporate AI as key component.  Throughout, we will emphasize the notion that “AI will not replace medical physicists but medical physicists who know AI will replace medical physicists who don’t know AI.”

Learning Objectives:

  1. Role of AI in modern medical physics
  2. Impact of AI on the profession of medical physics
  3. Incorporation of AI into medical physics curric

Speaker: Issam El Naqa, PhD, DABR, FAAPM, FIEEE, FAIMBE

Dr. Issam El Naqa is a distinguished expert in medical physics, oncology, and machine learning. He is the Chair of the Machine Learning Department at Moffitt Cancer Center and a Professor at the University of South Florida. Holding a Ph.D. in Electrical & Computer Engineering, he has contributed extensively to radiotherapy, radiomics, and AI in oncology. He has secured numerous research grants, published over 200 papers, and mentored many students. A fellow of IEEE, AAPM, and AIMBE, he has received prestigious awards and holds editorial roles in major scientific journals. His research focuses on AI-driven clinical decision-making and adaptive radiotherapy.



Part 2:
Perspective on How AI Could Impact Medical Physics Education and Practice


Abstract:

Artificial Intelligence in medical imaging involves development of quantitative analyses for task-based discovery, predictive modeling, and robust clinical translation, as well as methods to improve the efficiencies of the clinical practice workflow.  In these AI developments, curated and representative data are essential so that the training data sets match the testing datasets as well as the intended population for the AI.  This presentation will give a perspective on how AI could impact the education and clinical practice of medical physicists.  In addition, it is essential for the medical physicist to be educated in AI and how it may affect routine clinical practice of medical physics.  Also, it is beneficial to understand how AI could potentially change the current practice of medical physics.

Learning Objectives:

  1. Appreciate the role of data in the development, testing, and use of AI in medical imaging.
  2. Understand the impact that AI could have on medical physics education an clinical practice
  3. Learn the role of the medical physicist in clinical practices utilizing AI

Speaker: Maryellen Giger, PhD

Dr. Maryellen L. Giger is the A.N. Pritzker Distinguished Service Professor of Radiology at the University of Chicago, specializing in medical physics, imaging science, and AI applications in radiology. A leader in computer-aided diagnosis, she has contributed extensively to breast cancer detection and risk assessment. She has held numerous leadership roles, including past President of AAPM and SPIE. A fellow of IEEE, AIMBE, and RSNA, she has received multiple prestigious awards. Dr. Giger has published extensively, secured significant research funding, and mentored many students, making significant contributions to radiomics, quantitative imaging, and AI-driven precision medicine.

AI and its Ethical and Legal Implications in Medical Physics

Thursday, 8 May 2025 at 12 pm GMT; Duration 1 hour

Register here

Organizer: Kwan Hoong Ng, IOMP Awards and Honours Committee Chair

Moderators: Magdalena Stoeva and Simone Kodlulovich

Information will be updated soon. Please check back later.


Potential of AI on Nuclear Medicine Imaging and Therapy

Friday, 9 May 2025 at 12 pm GMT; Duration 1 hour

Register here

Organizer: Chai Hong Yeong, IOMP MPWB Chair

Moderators: Ibrahim Duhaini and Francis Hasford

Speakers: Kuangyu Shi, Ph.D and Axel Rominger, M.D.

Abstract:

Recent advances in instrumentation and radiopharmaceutical therapy (RPT) present new opportunities for nuclear medicine. However, the increasing complexity and data volume of these advancements makes fully exploring their potential more challenging. Artificial intelligence (AI) offers a promising tool to address these challenges. AI can assist in optimizing signal processing and image reconstruction, enhancing imaging quality while reducing radiation exposure. It can also improve diagnosis and prognosis in nuclear medicine imaging, facilitating tasks such as differential and early diagnosis. Additionally, AI has the potential to support the development of treatment planning tools for RPT, including simplified dosimetry procedures and pre-therapy dose prediction. This talk will explore the role of AI in imaging optimization, diagnostic assistance, and treatment planning from several developments from Bern. We will also discuss the challenges of AI implementation in nuclear medicine and the transformative potential of knowledge-guided AI in theranostics.

Learning Objectives:

  1. Understand the potential of AI in the optimization of nuclear medicine imaging.
  2. Understand the potential of AI in personalized radiopharmaceutical therapy.
  3. Understand the concept of knowledge-guidance for trustworthy AI.

Speaker 1: Kuangyu Shi, Ph.D

Prof. Kuangyu Shi is the Chief Medical Physicist and Head of the Lab for Artificial Intelligence and Translational Theranostics at the Department of Nuclear Medicine, University of Bern, Switzerland. Additionally, he is a senior lecturer at the Computer-aided Medical Procedure, School of Computation, Information & Technology at the Technical University of Munich, Germany. He did his Master and PhD at Max-Planck Institute for Informatics (2003-2008), Germany. Then he moved to Dept. Nuclear Medicine, Technical University of Munich for postdoctoral research and worked as subgroup leader from 2012 to 2018. On May 2018 he completed habilitation at Dept. Informatics, Technical University of Munich. His research is centered on advancing artificial intelligence and computational modeling techniques for nuclear medicine imaging, dosimetry and therapy, aiming to link the outcomes with underlying pathophysiological processes. Additionally, he is dedicated to developing both in vivo and ex vivo experimental methods, pushing the boundaries of microscopic nuclear imaging. His work has been recognized with the young investigator award of the Society of Nuclear Medicine and Molecular Imaging (SNMMI) and the Roger Perez Award of the European Association of Nuclear Medicine (EANM). He is currently a member of the AI committee of EANM, Task Group 36 of the International Commission on Radiological Protection (ICRP), and serves as an associate editors of Eur J Nucl Med Mol Imaging, EJNMMI Physics, IEEE TRPMS and Nuklearmedizin.

Speaker 2: Axel Rominger, M.D.

Axel Rominger, MD, is a Full Professor of Nuclear Medicine at the University Hospital in Bern, as well as Chairman of the Department of Nuclear Medicine at Inselspital. From 2007 until 2018 he worked at Ludwig Maximilian’s University of Munich, where he served as deputy director for 5 years. During this period he won several national and international research awards.

His research interests focus on the constant improvement of PET imaging capabilities with emphasis in the neurological and oncological fields. To fully translate developments into clinical practice, he has established interdisciplinary research groups for artificial intelligence, biomedical engineering, and radiopharmaceutical research within the Department of Nuclear Medicine.

In 2020, his department received the world’s first large axial field-of-view PET scanner from Siemens, which provides new opportunities for research and clinics due to its high sensitivity, axial coverage, and fast time of flight performance. To accelerate research on total body PET imaging, he has established numerous international collaborations.

He serves as the principal investigator and co-principal investigator on several grants, both preclinically and clinically, in the fields of oncology and neuroscience. He is author of more than 300 peer-reviewed publications and he serves as associate editor of the EJNMMI journal.