期刊
AMERICAN JOURNAL OF MEDICINE
卷 132, 期 7, 页码 795-801出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amjmed.2019.01.017
关键词
Artificial intelligence (AI); Integrated health care systems; Machine learning; Medical informatics; Precision medicine
资金
- Geisinger Research
- National Institute of Health (NIH) [R56HL116832]
- Defense Threat Reduction Agency (DTRA) [HDTRA1-18-1-0008, 450557-19D03]
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. (C) 2019 Elsevier Inc. All rights reserved.
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