Current state of AI for shockwave lithotripsy: a systematic review from YAU and EAU endourology.

Journal: World journal of urology
Published Date: Jul 11, 2025

Abstract

PURPOSE: To consolidate the current evidence of artificial intelligence (AI) for management of nephrolithiasis using extracorporeal shock-wave lithotripsy (ESWL), and to look at its feasibility into integration in clinical practice.

Authors

  • Ali Talyshinskii
    Department of Urology and Andrology, Astana Medical University, Astana, Kazakhstan. urovator@gmail.com.
  • Patrick Juliebø-Jones
    Department of Urology, Haukeland University, Bergen, Norway.
  • Lazaros Tzelves
    2nd Department of Urology, Sismanoglio Hospital, National and Kapodistrian University of Athens, Athens, Greece.
  • Nithesh Naik
    Manipal Academy of Higher Education, Engineering, Manipal, India.
  • Carlotta Nedbal
    ASST Fatebenefratelli Sacco, Urology, Milan, Italy. carlottanedbal@gmail.com.
  • Nurbol Keulimzhayev
    Department of Urology and Andrology, Astana Medical University, Astana, Kazakhstan.
  • Frédéric Panthier
    Endolase lab, GRC20, Sorbonne Université and PIMM-Arts et Métiers Paris Tech, Paris, France.
  • Amelia Pietropaolo
    Department of Urology, University Hospital Southampton, Tremona Road, Southampton, UK.
  • Bhaskar Kumar Somani
    Department of Urology, University Hospital Southampton, Tremona Road, Southampton, UK. bhaskarsomani@yahoo.com.

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