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

Arman Rahmim Departments of Radiology and Physics, University of British Columbia Tyler J. Bradshaw Department of Radiology, University of Wisconsin Guido Davidzon Department of Radiology, Division of Nuclear Medicine & Molecular Imaging, Stanford University Joyita Dutta Department of Biomedical Engineering, University of Massachusetts Amherst Georges El Fakhri PET Center, Departments of Radiology & Biomedical Engineering and Bioinformatics & Data Science, Yale University Munir Ghesani United Theranostics Nicolas A. Karakatsanis Department of Radiology, Weill Cornell Medical College of Cornell University, New York Quanzheng Li Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School Chi Liu Department of Radiology and Biomedical Imaging, Yale University Emilie Roncali Departments of Biomedical Engineering and Radiology, University of California, Davis Babak Saboury Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health Tahir Yusufaly Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine Abhinav K. Jha Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University, St. Louis Abstract The 2nd SNMMI Artificial Intelligence (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 prior successful 2022 AI Summit, the summit theme was "AI in Action". Six key topics included (i) an overview of prior and ongoing efforts by the AI task force, (ii) emerging needs and tools for computational nuclear oncology, (iii) new frontiers in large language and generative models, (iv) defining the value proposition for the use of AI in nuclear medicine, (v) open science including efforts for data and model repositories, and (vi) issues of reimbursement and funding. The primary efforts, findings, challenges, and next steps are summarized in this manuscript. Introduction The Society of Nuclear Medicine & Molecular Imaging (SNMMI) 2nd Artificial Intelligence (AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD, on February 29 - March 1, 2024. Over 100 community members and stakeholders from academia, healthcare, industry, and NIH gathered to discuss the emerging role of AI in nuclear medicine. It featured two plenaries, panel discussions, talks from leading experts in the field, and was concluded by a round table discussion on key findings, next steps, and call to action.