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AI for prostate cancer diagnosis — hype or today’s reality?

Nature Reviews Urology volume 19, pages 261–262 (2022)Cite this article

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Artificial intelligence (AI)-based models can potentially reduce workload and assist general pathologists in reaching genitourinary pathologists’ performance. A recent large-scale competition to develop generalizable AI models for prostate cancer detection and grading has shown success; implementation of such models positions them beyond hype and as today’s reality.

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Fig. 1: Deep learning models have considerable potential to improve pathological diagnosis, with important implications for patient outcomes.

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Authors and Affiliations

  1. Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada

    Ali Bashashati

  2. School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada

    Ali Bashashati

  3. Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada

    S. Larry Goldenberg

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  1. Ali Bashashati
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  2. S. Larry Goldenberg
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Correspondence to S. Larry Goldenberg.

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The authors declare no competing interests.

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Bashashati, A., Goldenberg, S.L. AI for prostate cancer diagnosis — hype or today’s reality?. Nat Rev Urol 19, 261–262 (2022). https://doi.org/10.1038/s41585-022-00583-4

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