Searching Images for Consensus: Can AI Remove Observer Variability in Pathology?

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1702-1708
Number of pages7
JournalAmerican Journal of Pathology
Volume191
Issue number10
DOIs
StatePublished - Oct 2021

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

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