Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)
Title: | Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022) |
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Authors: | Rahmim, Arman, Bradshaw, Tyler J., Buvat, Irène, Dutta, Joyita, Jha, Abhinav K., Kinahan, Paul E., Li, Quanzheng, Liu, Chi, McCradden, Melissa D., Saboury, Babak, Siegel, Eliot, Sunderland, John J., Wahl, Richard L. |
Publication Year: | 2022 |
Collection: | Computer Science Physics (Other) |
Subject Terms: | Physics - Medical Physics, Computer Science - Artificial Intelligence |
More Details: | The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD on March 21-22, 2022. It brought together various community members and stakeholders from academia, healthcare, industry, patient representatives, and government (NIH, FDA), and considered various key themes to envision and facilitate a bright future for routine, trustworthy use of AI in nuclear medicine. In what follows, essential issues, challenges, controversies and findings emphasized in the meeting are summarized. |
Document Type: | Working Paper |
Access URL: | http://arxiv.org/abs/2211.03783 |
Accession Number: | edsarx.2211.03783 |
Database: | arXiv |
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