Artificial Intelligence Transforms the Future of Health Care

Am J Med. 2019 Jul;132(7):795-801. doi: 10.1016/j.amjmed.2019.01.017. Epub 2019 Jan 31.

Abstract

Life sciences researchers using artificial intelligence (AI) are under pressure to innovate faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking novel insights and accelerating breakthroughs. Although more data are available than ever, only a fraction is being curated, integrated, understood, and analyzed. AI focuses on how computers learn from data and mimic human thought processes. AI increases learning capacity and provides decision support system at scales that are transforming the future of health care. This article is a review of applications for machine learning in health care with a focus on clinical, translational, and public health applications with an overview of the important role of privacy, data sharing, and genetic information.

Keywords: Artificial intelligence (AI); Integrated health care systems; Machine learning; Medical informatics; Precision medicine.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Artificial Intelligence* / trends
  • Decision Support Systems, Clinical / trends
  • Delivery of Health Care / methods
  • Delivery of Health Care / trends*
  • Drug Discovery / trends
  • Epidemics / prevention & control
  • Forecasting
  • Humans
  • Machine Learning
  • Translational Research, Biomedical / trends