External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens.

Journal: BJU international
PMID:

Abstract

OBJECTIVES: To externally validate the performance of the DeepDx Prostate artificial intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole-mount prostate histopathology, considering potential variations observed when applying AI models trained on biopsy samples to radical prostatectomy (RP) specimens due to inherent differences in tissue representation and sample size.

Authors

  • Bogdana Schmidt
    Division of Urology, Department of Surgery, Huntsman Cancer Hospital, University of Utah, Salt Lake City, UT, USA.
  • Simon John Christoph Soerensen
    Department of Urology, Stanford University School of Medicine, Stanford, California.
  • Hriday P Bhambhvani
    Department of Urology, Stanford University Medical Center, Stanford, CA.
  • Richard E Fan
    Department of Urology, Stanford University, Stanford, CA 94305, USA.
  • Indrani Bhattacharya
    Department of Radiology, Stanford University School of Medicine, Stanford, California.
  • Moon Hyung Choi
    Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Christian A Kunder
    Department of Pathology, Stanford University, Stanford, CA 94305, USA.
  • Chia-Sui Kao
    Department of Pathology and Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA.
  • John Higgins
    Dartmouth College, Hanover, NH, USA.
  • Mirabela Rusu
    Department of Radiology, Stanford University, Stanford, CA 94305, USA. Electronic address: mirabela.rusu@stanford.edu.
  • Geoffrey A Sonn
    Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.