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Peer-Reviewed Publication
Semin Diagn Pathol2023;40(2):100-108.March 1, 2023Journal Article

AI in Pathology: What could possibly go wrong?

Keisuke Nakagawa1, Lama Moukheiber2, Leo A Celi2, Malhar Patel3, Faisal Mahmood4, Dibson Gondim5, Michael Hogarth6, Richard Levenson7
1UC Davis Health, Sacramento, CA.
2Massachusetts Institute of Technology, Cambridge, MA.
3Rhino Health, Boston, MA.
4Brigham and Women's Hospital, Boston, MA.
5University of Louisville, Lousville, KY.
6UC San Diego, San Diego, CA.
7UC Davis Health, Sacramento, CA. Electronic address: rmlevenson@ucdavis.edu.
PubMed PMC DOI PDF

Abstract

The field of medicine is undergoing rapid digital transformation. Pathologists are now striving to digitize their data, workflows, and interpretations, assisted by the enabling development of whole-slide imaging. Going digital means that the analog process of human diagnosis can be augmented or even replaced by rapidly evolving AI approaches, which are just now entering into clinical practice. But…

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