Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024).

Journal: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Published Date: Mar 2, 2026

Abstract

The second Society of Nuclear Medicine and Molecular Imaging (SNMMI) AI Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD, on February 29-March 1, 2024. Bringing together various community members and stakeholders and following up on a successful 2022 summit, the theme was "AI in Action." Key items discussed included emerging needs and tools for computational nuclear oncology, new frontiers in large language and generative models, defining the value proposition for the use of artificial intelligence in nuclear medicine, open science including efforts for data and model repositories, and issues of reimbursement and funding. The primary efforts, findings, challenges, and next steps are summarized in this article.

Authors

  • Arman Rahmim
  • Tyler J Bradshaw
    Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States of America.
  • Guido Davidzon
    Department of Radiology, Stanford University, Stanford, CA, United States.
  • Joyita Dutta
  • Georges El Fakhri
  • Munir Ghesani
    United Theranostics, Princeton, New Jersey.
  • Nicolas A Karakatsanis
    Department of Radiology, Weill Cornell Medical College, New York, New York.
  • Quanzheng Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Chi Liu
  • Emilie Roncali
    Department of Biomedical Engineering, University of California, Davis, United States of America.
  • Babak Saboury
    IBM Research, Almaden, San Jose, California.
  • Tahir Yusufaly
    Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland; and.
  • Abhinav K Jha
    Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States of America.

Keywords

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