On Tuesday, March 5th a broad community came together to discuss the topics of “Artificial Intelligence in Imaging” and “Sustainability in Imaging and Healthcare,” topics identified by the Academy’s Coalition for Imaging & Bioengineering (CIBR) Steering Committee. Represented were academic leadership from both radiology and pathology, research scientists from more than 30 Academic Institutions, American Association of Physicists in Medicine (AAPM), American Association for Women in Radiology (AAWR), American College of Radiology (ACR), American Society of Neuroradiology (ASNR), Association of University Radiologists (AUR), Radiological Society of North America (RSNA), Society for Imaging Informatics in Medicine (SIIM), Society of Interventional Radiology (SIR), and Society of Nuclear Medicine and Molecular Imaging (SNMMI).

Representatives from the Advanced Research Projects Agency for Health (ARPA-H), Centers for Medicare & Medicaid Services (CMS), U.S. Department of Energy (DOE), U.S. Environmental Protection Agency (EPA), U.S. Food and Drug Administration (FDA), National Cancer Institute (NCI), National Institute for Biomedical Imaging and Bioengineering (NIBIB), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of Standards and Technology (NIST), and National Library of Medicine (NLM) were present for the discussion. Also joining us were representatives from our industry partners – Canon Medical Research, GE Healthcare, Time Medical Systems, Philips North America, Siemens Medical Solutions, United Imaging, Deep Health and AGFA.

Publish Date

Jul 9, 2024

Resource Type

  • White Paper

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist
  • Student Member in Training (SMIT)
  • Vendor

Resource

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

Oct 1, 2025

In a groundbreaking collaboration led by the SIIM Machine Learning Education Subcommittee, the American Association of Physicists in Medicine (AAPM), Radiological Society of North America (RSNA), and Society for Imaging Informatics in Medicine (SIIM) are proud to announce the simultaneous co-publication of “Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM” in these three flagship journals: Medical Physics, Radiology: Artificial Intelligence, and the Journal of Imaging Informatics in Medicine (JIIM).

The society-endorsed syllabus outlines critical competencies for four key groups: clinical users, technology purchasers, clinical collaborators, and AI developers. Designed as a flexible framework, it allows institutions to adapt content while ensuring consistent instruction on AI fundamentals, clinical integration, regulatory requirements, and ethical considerations.

Resource

Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 1)

Sep 9, 2025

Part 1: The Medical AI Background: From Simple Tools to Complex Systems Picture this: you’re a radiologist examining a chest…

Resource

Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 2)

Sep 9, 2025

Part 2: Framework, Regulation & Future Directions Additions Ethical Considerations in Medical AI Deployment The deployment of multi-agent AI systems…