| Literature DB >> 33340404 |
Thomas P Quinn1, Manisha Senadeera1, Stephan Jacobs1, Simon Coghlan2, Vuong Le1.
Abstract
Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. How-ever, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public trust in AI, which could in turn undermine trust in our healthcare institutions. This article makes 2 contributions. First, it describes the major conceptual, technical, and humanistic challenges in medical AI. Second, it proposes a solution that hinges on the education and accreditation of new expert groups who specialize in the development, verification, and operation of medical AI technologies. These groups will be required to maintain trust in our healthcare institutions.Entities:
Keywords: AI; challenges; ethics; machine learning
Mesh:
Year: 2021 PMID: 33340404 PMCID: PMC7973477 DOI: 10.1093/jamia/ocaa268
Source DB: PubMed Journal: J Am Med Inform Assoc ISSN: 1067-5027 Impact factor: 4.497