Surgical Artificial Intelligence: Endourology.

Journal: The Urologic clinics of North America
Published Date: Jul 31, 2023

Abstract

Endourology is ripe with information that includes patient factors, laboratory tests, outcomes, and visual data, which is becoming increasingly complex to assess. Artificial intelligence (AI) has the potential to explore and define these relationships; however, humans might not be involved in the input, analysis, or even determining the methods of analysis. Herein, the authors present the current state of AI in endourology and highlight the need for urologists to share their proposed AI solutions for reproducibility outside of their institutions and prepare themselves to properly critique this new technology.

Authors

  • Zachary E Tano
    Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA. Electronic address: ztano@hs.uci.edu.
  • Andrei D Cumpanas
    Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.
  • Antonio R H Gorgen
    Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.
  • Allen Rojhani
    Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.
  • Jaime Altamirano-Villarroel
    Department of Urology, University of California, Irvine, 3800 West Chapman Avenue, Suite 7200, Orange, CA 92868, USA.
  • Jaime Landman
    University of California Irvine School of Medicine, Orange, CA, USA.

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