Improving the Pap test with artificial intelligence

被引:6
|
作者
Pantanowitz, Liron [1 ]
机构
[1] Univ Michigan, Dept Pathol, Ann Arbor, MI 48109 USA
关键词
artificial intelligence; cervical cancer; computational pathology; cytology; deep learning; pap test;
D O I
10.1002/cncy.22561
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The cytology community should be excited about the emergence of artificial intelligence-based solutions and embrace these promising technologies. However, there is also a need to determine how best to adopt these tools into routine practice and to monitor their long-term usefulness.
引用
收藏
页码:402 / 404
页数:3
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