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

TL;DR

This report summarizes the key discussions, efforts, and challenges from the 2024 SNMMI AI Summit focused on AI applications in nuclear medicine, highlighting emerging tools, open science, and policy issues.

Contribution

It provides a comprehensive overview of current AI initiatives, challenges, and future directions in nuclear medicine as discussed at the summit.

Findings

Progress in AI tools for nuclear oncology

Emerging role of large language models in nuclear medicine

Ongoing efforts for open data and model sharing

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.