Artificial intelligence in healthcare

被引：1381
作者：
Yu, Kun-Hsing [1 ]
Beam, Andrew L. [1 ]
Kohane, Isaac S. [1 ,2 ]
机构：
[1] Harvard Med Sch, Dept Biomed Informat, Boston, MA 02115 USA
[2] Boston Childrens Hosp, Boston, MA 02115 USA
来源：
NATURE BIOMEDICAL ENGINEERING | 2018年 / 2卷 / 10期
关键词：
CLINICAL DECISION-SUPPORT; ORDER ENTRY SYSTEMS; DIABETIC-RETINOPATHY; FUNDUS PHOTOGRAPHY; CANCER-PATIENTS; NEURAL-NETWORK; UNITED-STATES; DIAGNOSIS; FUTURE; CLASSIFICATION;
D O I：
10.1038/s41551-018-0305-z
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts. In this Review Article, we outline recent breakthroughs in AI technologies and their biomedical applications, identify the challenges for further progress in medical AI systems, and summarize the economic, legal and social implications of AI in healthcare.
引用
收藏
页码：719 / 731
页数：13
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