Artificial Intelligence in Imaging: The Radiologist's Role

被引:51
|
作者
Rubin, Daniel L. [1 ]
机构
[1] Stanford Univ, Dept Biomed Data Sci Radiol & Med, Biomed Informat Res, Med Sch Off Bldg,1265 Welch Rd,X335, Stanford, CA 94305 USA
基金
美国国家卫生研究院;
关键词
Artificial intelligence; radiology; imaging; evaluation; COMPUTER-AIDED DETECTION; SCREENING MAMMOGRAPHY; DIAGNOSIS; PERFORMANCE; PREDICTION; ACCURACY; CANCER;
D O I
10.1016/j.jacr.2019.05.036
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Rapid technological advancements in artificial intelligence (AI) methods have fueled explosive growth in decision tools being marketed by a rapidly growing number of companies. AI developments are being driven largely by computer scientists, informaticians, engineers, and businesspeople, with much less direct participation by radiologists. Participation by radiologists in AI is largely restricted to educational efforts to familiarize them with the tools and promising results, but techniques to help them decide which AI tools should be used in their practices and to how to quantify their value are not being addressed. This article focuses on the role of radiologists in imaging AI and suggests specific ways they can be engaged by (1) considering the clinical need for AI tools in specific clinical use cases, (2) undertaking formal evaluation of AI tools they are considering adopting in their practices, and (3) maintaining their expertise and guarding against the pitfalls of overreliance on technology.
引用
收藏
页码:1309 / 1317
页数:9
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