Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)
Year: 2022
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Institutions: University of British Columbia, University of Wisconsin–Madison, Inserm, Université Paris Sciences et Lettres, Université Paris-Saclay, Institut Curie, University of Massachusetts Amherst, Washington University in St. Louis, Hospital for Sick Children, National Institutes of Health, University of Maryland Medical Center, National Institutes of Health Clinical Center, University of Iowa
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4308619661
