医学
乳腺摄影术
四分位间距
乳腺癌
乳腺癌筛查
算法
回顾性队列研究
人口
癌症筛查
癌症
队列
内科学
计算机科学
环境卫生
作者
Mattie Salim,Erik Wåhlin,Karin Dembrower,Edward Azavedo,Theodoros Foukakis,Yue Liu,Kevin Smith,Martin Eklund,Fredrik Strand
出处
期刊:JAMA Oncology
[American Medical Association]
日期:2020-08-27
卷期号:6 (10): 1581-1581
被引量:266
标识
DOI:10.1001/jamaoncol.2020.3321
摘要
To our knowledge, this study is the first independent evaluation of several AI computer-aided detection algorithms for screening mammography. The results of this study indicated that a commercially available AI computer-aided detection algorithm can assess screening mammograms with a sufficient diagnostic performance to be further evaluated as an independent reader in prospective clinical trials. Combining the first readers with the best algorithm identified more cases positive for cancer than combining the first readers with second readers.
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