Artificial intelligence and deep learning - Radiology's next frontier?

被引:77
|
作者
Mayo, Ray Cody [1 ]
Leung, Jessica [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, 1515 Holcombe Blvd,Unit 1350, Houston, TX 77030 USA
关键词
Artificial intelligence; Deep learning; Big data; Neural networks; Computer aided detection; COMPUTER-AIDED DETECTION; SCREENING MAMMOGRAPHY PROGRAM; BREAST-CANCER DETECTION; DETECTION SYSTEM; DETECTION CAD; RECALL RATES; PERFORMANCE; IMPACT;
D O I
10.1016/j.clinimag.2017.11.007
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
Tracing the use of computers in the radiology department from administrative functions through image acquisition, storage, and reporting, to early attempts at improved diagnosis, we begin to imagine possible new frontiers for their use in exam interpretation. Given their initially slow but ultimately substantial progress in the noninterpretive areas, we are left desiring and even expecting more in the interpretation realm. New technological advances may provide the next wave of progress and radiologists should be early adopters. Several potential applications are discussed and hopefully will serve to inspire future progress.
引用
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页码:87 / 88
页数:2
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