Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology

Abstract Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise in detecting prostate cancer and grading patterns. We tested an AI-based digital twin of a pathologist, vPatho, on 2603 histological images of prostate tis...

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Principais autores:	Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach, Ryan Han, James D. Brooks, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Robert West, Jin Long, Richard E. Fan, Olaf Bettendorf
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2024-03-01
Serija:	Scientific Reports
Teme:	Artificial intelligence Prostate cancer Gleason grading system ISUP Deep learning Automation
Online dostop:	https://doi.org/10.1038/s41598-024-55228-w
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