MINI-REVIEW Searching Images for Consensus Can AI Remove Observer Variability in Pathology?

One of the major obstacles in reaching diagnostic consensus is observer variability. With the recent success of artificial intelligence, particularly the deep networks, the question emerges as to whether the fundamental challenge of diagnostic imaging can now be resolved. This article briefly reviews the problem and how eventually both supervised and unsupervised AI technologies could help to overcome it. (Am J Pathol 2021, 191: 1702-1708; https://doi.org/10.1016/j.ajpath.2021.01.015)

Automated summary

Observer variability is a major obstacle in achieving diagnostic consensus. With the recent success of artificial intelligence, especially deep neural networks, it is possible to overcome the fundamental challenge of diagnostic imaging.