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December 17, 2019

Artificial Intelligence in Health Care: A Report From the National Academy of Medicine

Author Affiliations
  • 1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
  • 2Geriatric Research Education & Clinical Care Service, Tennessee Valley Healthcare System VA, Nashville
  • 3Mathematica Policy Research, Washington, DC
  • 4Stanford University School of Medicine, Stanford, California
JAMA. 2020;323(6):509-510. doi:10.1001/jama.2019.21579

The promise of artificial intelligence (AI) in health care offers substantial opportunities to improve patient and clinical team outcomes, reduce costs, and influence population health. Current data generation greatly exceeds human cognitive capacity to effectively manage information, and AI is likely to have an important and complementary role to human cognition to support delivery of personalized health care.1 For example, recent innovations in AI have shown high levels of accuracy in imaging and signal detection tasks and are considered among the most mature tools in this domain.2

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