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

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.

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Publication Details

Journal
Journal of Nuclear Medicine
Published
2025-11-25
DOI
https://doi.org/10.2967/jnumed.125.269540
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

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

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

Babak Saboury, Emilie Roncali, Tahir Yusufaly, Nicolas A. Karakatsanis, Guido Davidzon, Arman Rahmim, Tyler Bradshaw, Joyita Dutta, Quanzheng Li, Abhinav K. Jha, Chi Liu, Munir Ghesani, Georges El Fakhri
article en

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.

Journal of Nuclear MedicineVol. 67(3)
University of Wisconsin–Madison (US), Harvard University (US), University of British Columbia (CA), Johns Hopkins University (US), Palo Alto University (US), Cornell University (US), University of Massachusetts Amherst (US), Johns Hopkins Medicine (US), Yale University (US), Massachusetts General Hospital (US), Mallinckrodt (United States) (US), Molecular Theranostics (United States) (US), National Institute of Mental Health (US), University of California, Davis (US), Stanford University (US)
Openalex Percentile: Top 70%
Artificial Intelligence in Healthcare and Education
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