articleNature MedicineJan 1, 2022HYBRID OA

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

WBWouter BultenKKKimmo KartasaloPCPo-Hsuan Cameron ChenPSPeter StrömHPHans Pinckaers

Radboud University Nijmegen · Radboud University Medical Center · +43 more institutions

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Abstract

Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge-the largest histopathology competition to date, joined by 1,290 developers-to catalyze development of reproducible AI algorithms for Gleason grading using 10,616 digitized prostate biopsies. We validated that a diverse set of submitted algorithms reached pathologist-level performance on independent…

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477
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Authors

87
  • WB
    Wouter BultenCorresponding

    Radboud University Nijmegen, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences

  • KK
    Kimmo Kartasalo

    Tampere University of Applied Sciences, Karolinska Institutet, Tampere University

  • PC
    Po-Hsuan Cameron Chen

    Google (United States)

  • PS
    Peter Ström

    Karolinska Institutet

  • HP
    Hans Pinckaers

    Radboud University Nijmegen, Radboud University Medical Center

Topics & keywords

Topics
Keywords
  • Prostate cancer
  • Grading (engineering)
  • Prostate
  • Confidence interval
  • Medical imaging
  • Prospective cohort study
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