Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence

被引:61
|
作者
Tajmir, Shahein H. [1 ,2 ]
Alkasab, Tank K. [1 ,2 ,3 ]
机构
[1] Massachusetts Gen Hosp, Dept Radiol, 55 Fruit St, Boston, MA 02114 USA
[2] Harvard Med Sch, Boston, MA 02115 USA
[3] MGH BWH Ctr Clin Data Sci, Boston, MA 02114 USA
关键词
Artificial intelligence; education; machine learning; DEEP; SYSTEM;
D O I
10.1016/j.acra.2018.03.007
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
Radiology practice will be altered by the coming of artificial intelligence, and the process of learning in radiology will be similarly affected. In the short term, radiologists will need to understand the first wave of artificially intelligent tools, how they can help them improve their practice, and be able to effectively supervise their use. Radiology training programs will need to develop curricula to help trainees acquire the knowledge to carry out this new supervisory duty of radiologists. In the longer term, artificially intelligent software assistants could have a transformative effect on the training of residents and fellows, and offer new opportunities to bring learning into the ongoing practice of attending radiologists.
引用
收藏
页码:747 / 750
页数:4
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