Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies
Author:
Affiliation:
1. Google Health, Palo Alto, California
2. Google Health via Advanced Clinical, Deerfield, Illinois
3. Now with Tempus Labs, Chicago, Illinois
Publisher
American Medical Association (AMA)
Subject
General Medicine
Link
https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2772831/steiner_2020_oi_200774_1607611769.5607.pdf
Reference33 articles.
1. The 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma.;Epstein;Am J Surg Pathol,2005
2. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: definition of grading patterns and proposal for a new grading system.;Epstein;Am J Surg Pathol,2016
3. Prostate cancer, version 2.2019, NCCN Clinical Practice Guidelines in Oncology.;Mohler;J Natl Compr Canc Netw,2019
4. Interobserver agreement of Gleason score and modified Gleason score in needle biopsy and in surgical specimen of prostate cancer.;Veloso;Int Braz J Urol,2007
5. Intraobserver and interobserver reproducibility of WHO and Gleason histologic grading systems in prostatic adenocarcinomas.;Ozdamar;Int Urol Nephrol,1996
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