Artificial Intelligence: Threat or Boon to Radiologists?

被引：99

作者：

Recht, Michael ^{[1
]}

Bryan, R. Nick ^{[2
]}

机构：

[1] NYU Langone Hlth, Dept Radiol, 660 First Ave,3rd Floor, New York, NY 10016 USA

[2] Univ Texas Austin, Dell Med Sch, Austin, TX 78712 USA

来源：

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY | 2017年 / 14卷 / 11期

关键词：

Machine learning; computer-assisted diagnosis/detection; value; efficiency; artificial intelligence; FUTURE;

D O I：

10.1016/j.jacr.2017.07.007

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：

The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiology. But rather than being a significant threat to radiologists, we believe these changes, particularly machine learning/artificial intelligence, will be a boon to radiologists by increasing their value, efficiency, accuracy, and personal satisfaction.

引用

页码：1476 / 1480

页数：5

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