| Title: |
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022) |
| 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 |
