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

Artificial Intelligence Transforms the Future of Health Care.

Author information

1
St. Jude Children's Research Hospital, Memphis, Tenn; University of Tennessee Health Science Center, Memphis.
2
Geisinger Neuroscience Institute, Geisinger Health System, Danville, Penn; University of Tennessee Health Science Center, Memphis; Biocomplexity Institute, Virginia Tech, Blacksburg, Va.
3
Genomic Medicine Institute, Geisinger Health System, Danville,Penn.
4
Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, Penn; Biocomplexity Institute, Virginia Tech, Blacksburg, Va. Electronic address: vidaabedi@gmail.com.

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

PMID:
30710543
PMCID:
PMC6669105
[Available on 2020-07-01]
DOI:
10.1016/j.amjmed.2019.01.017

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