Artificial Intelligence Transforms the Future of Health Care

Nariman Noorbakhsh-Sabet, R. Zand, Yanfei Zhang, Vida Abedi

Research output: Contribution to journalReview articlepeer-review

88 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)795-801
Number of pages7
JournalAmerican Journal of Medicine
Volume132
Issue number7
DOIs
StatePublished - Jul 2019

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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