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ABSTRACT: Importance
The Gleason grading system has been the most reliable tool for the prognosis of prostate cancer since its development. However, its clinical application remains limited by interobserver variability in grading and quantification, which has negative consequences for risk assessment and clinical management of prostate cancer.Objective
To examine the impact of an artificial intelligence (AI)-assisted approach to prostate cancer grading and quantification.Design, setting, and participants
This diagnostic study was conducted at the University of Wisconsin-Madison from August 2, 2017, to December 30, 2019. The study chronologically selected 589 men with biopsy-confirmed prostate cancer who received care in the University of Wisconsin Health System between Januar
SUBMITTER: Huang W
PROVIDER: S-EPMC8567112 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature