Question  What is the discriminative accuracy of deep learning algorithms compared with the diagnoses of pathologists in detecting lymph node metastases in tissue sections of women with breast cancer?
Finding  In cross-sectional analyses that evaluated 32 algorithms submitted as part of a challenge competition, 7 deep learning algorithms showed greater discrimination than a panel of 11 pathologists in a simulated time-constrained diagnostic setting, with an area under the curve of 0.994 (best algorithm) vs 0.884 (best pathologist).
Meaning  These findings suggest the potential utility of deep learning algorithms for pathological diagnosis, but require assessment in a clinical setting.
Importance  Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency.
Objective  Assess the performance of automated deep learning algorithms at detecting …
READ MORE ON JAMANETWORK.COM