Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.

Journal: Communications medicine
Published Date: Jun 30, 2021

Abstract

BACKGROUND: Gleason grading of prostate cancer is an important prognostic factor, but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par with expert pathologists, it remains an open question whether and to what extent A.I. grading translates to better prognostication.

Authors

  • Ellery Wulczyn
    Google Health, Palo Alto, CA USA.
  • Kunal Nagpal
    Google Health, Palo Alto, CA USA.
  • Matthew Symonds
    Google Health, Palo Alto, CA USA.
  • Melissa Moran
    Google Health, Palo Alto, CA USA.
  • Markus Plass
    Medical University of Graz, Graz, Austria.
  • Robert Reihs
    Medical University of Graz, Graz, Austria.
  • Farah Nader
    Medical University of Graz, Graz, Austria.
  • Fraser Tan
    Google Health, Palo Alto, CA USA.
  • Yuannan Cai
    Google Health, Palo Alto, CA USA.
  • Trissia Brown
    Google Health via Advanced Clinical, Deerfield, IL USA.
  • Isabelle Flament-Auvigne
    Google Health via Advanced Clinical, Deerfield, IL USA.
  • Mahul B Amin
    Department of Pathology and Laboratory Medicine, University of Tennessee Health Science Center, Memphis, TN USA.
  • Martin C Stumpe
    Google Health, Palo Alto, CA USA.
  • Heimo Müller
    Medical University of Graz, Graz, Austria.
  • Peter Regitnig
    Medical University of Graz, Graz, Austria.
  • Andreas Holzinger
    Human-Centered AI Lab, Medical University of Graz, Graz, Austria.
  • Greg S Corrado
    Google Health, Palo Alto, CA USA.
  • Lily H Peng
    Google Health, Palo Alto, CA USA.
  • Po-Hsuan Cameron Chen
    Google Health, Palo Alto, CA USA.
  • David F Steiner
    Google Health, Palo Alto, CA USA.
  • Kurt Zatloukal
    Medical University of Graz, Graz, Austria.
  • Yun Liu
    Google Health, Palo Alto, CA USA.
  • Craig H Mermel
    Google Health, Palo Alto, CA USA.

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