Artificial Intelligence-Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy.

Journal: JCO clinical cancer informatics
Published Date: Jun 18, 2025

Abstract

PURPOSE: Artificial intelligence (AI) tools that identify pathologic features from digitized whole-slide images (WSIs) of prostate cancer (CaP) generate data to predict outcomes. The objective of this study was to evaluate the clinical validity of an AI-enabled prognostic test, PATHOMIQ_PRAD, using a clinical cohort from the Cleveland Clinic.

Authors

  • Magdalena Fay
    Cleveland Clinic Lerner College of Medicine, Cleveland, OH.
  • Ross S Liao
    Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH.
  • Zaeem M Lone
    Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH.
  • Chandana A Reddy
    Department of Radiation Oncology, Taussig Cancer Centre, Cleveland Clinic, Cleveland, Ohio.
  • Hassan Muhammad
    Department of Physiology, Biophysics, and Systems Biology, Weill Cornell Medicine.
  • Chensu Xie
    PathomIQ Inc, Cupertino, CA.
  • Parag Jain
    PathomIQ, Inc, Cupertino, CA.
  • Wei Huang
    Shaanxi Institute of Flexible Electronics, Northwestern Polytechnical University, 710072 Xi'an, China.
  • Hirak S Basu
    PathomIQ Inc, Cupertino, CA.
  • Sujit S Nair
    Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Dimple Chakravarty
    Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
  • Sean R Williamson
    Department of Pathology, Cleveland Clinic, Cleveland, Ohio.
  • Shilpa Gupta
    Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Christopher Weight
    Department of Urology, University of Minnesota, Minneapolis, Minnesota, USA.
  • Rajat Roy
    PathomIQ, Inc, Cupertino, CA.
  • George Wilding
    PathomIQ, Inc, Cupertino, CA.
  • Ashutosh K Tewari
    School of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C.
  • Eric A Klein
    Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH.
  • Omar Y Mian
    Human Biology and Radiation Oncology, Fred Hutchinson Cancer Center, Seattle, WA.

Keywords

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