Promise and Perils of Big Data and Artificial Intelligence in Clinical Medicine and Biomedical Research

被引：22

作者：

Rodriguez, Fatima ^{[1
,2
]}

Scheinker, David ^{[3
]}

Harrington, Robert A. ^{[1
,2
]}

机构：

[1] Stanford Univ, Cardiovasc Inst, Div Cardiovasc Med, Stanford, CA 94305 USA

[2] Stanford Univ, Dept Med, Stanford, CA 94305 USA

[3] Stanford Univ, Dept Management Sci & Engn, Stanford, CA 94305 USA

来源：

CIRCULATION RESEARCH | 2018年 / 123卷 / 12期

关键词：

artificial intelligence; biomedical research; delivery of health care; machine learning; precision medicine; CLASSIFICATION; MORTALITY; CANCER;

D O I：

10.1161/CIRCRESAHA.118.314119

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

The widespread growth of big data and artificial intelligence (AI) in industry offers a preview of their promise and peril in medicine and biomedical research. This viewpoint summarizes valuable lessons from other industries, promising recent developments in health care and ideas for moving forward.

引用

页码：1282 / 1284

页数：3

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