Artificial intelligence in health care: benefits and challenges of machine learning technologies for medical diagnostics : report to congressional requesters

Artificial intelligence in health care: benefits and challenges of machine learning technologies for medical diagnostics : report to congressional requesters

Collection:
Health Policy and Services Research
Series Title(s):
Technology assessment (United States. Government Accountability Office)
Contributor(s):
National Academy of Medicine (U.S.), issuing body.
United States. Government Accountability Office, issuing body.
Publication:
Washington, DC : United States Government Accountability Office, September 2022
Language(s):
English
Format:
Text
Subject(s):
Artificial Intelligence -- legislation & jurisprudence
Diagnosis, Computer-Assisted -- legislation & jurisprudence
Government Regulation
Health Policy
Legislation, Medical
United States
Genre(s):
Technical Report
Abstract:
Why GAO did this study. Diagnostic errors affect more than 12 million Americans each year, with aggregate costs likely in excess of $100 billion, according to a report by the Society to Improve Diagnosis in Medicine. ML, a subfield of artificial intelligence, has emerged as a powerful tool for solving complex problems in diverse domains, including medical diagnostics. However, challenges to the development and use of machine learning technologies in medical diagnostics raise technological, economic, and regulatory questions. GAO was asked to conduct a technology assessment on the current and emerging uses of machine learning in medical diagnostics, as well as the challenges and policy implications of these technologies. This report discusses (1) currently available ML medical diagnostic technologies for five selected diseases, (2) emerging ML medical diagnostic technologies, (3) challenges affecting the development and adoption of ML technologies for medical diagnosis, and (4) policy options to help address these challenges. GAO assessed available and emerging ML technologies; interviewed stakeholders from government, industry, and academia; convened a meeting of experts in collaboration with the National Academy of Medicine; and reviewed reports and scientific literature. GAO is identifying policy options in this report.
Copyright:
The National Library of Medicine believes this item to be in the public domain. (More information)
Related Title(s):
Meeting the moment
Extent:
1 online resource (1 PDF file (xi, 88 pages))
Illustrations:
Illustrations
NLM Unique ID:
9918506288306676 (See catalog record)
Permanent Link:
http://resource.nlm.nih.gov/9918506288306676