Machine learning models to predict postoperative incontinence after endoscopic enucleation of the prostate for benign prostatic hyperplasia: An EAU-Endourology study.

Journal: Prostate cancer and prostatic diseases
Published Date:

Abstract

BACKGROUND: Machine learning (ML) and artificial intelligence (AI) have demonstrated powerful functionality in the healthcare setting thus far. We aimed to construct an AI model to predict postoperative incontinence after enucleation surgery for benign prostatic hyperplasia (BPH).

Authors

  • Khi Yung Fong
    Yong Loo Lin School of Medicine, National University of Singapore, Urology, Singapore, Singapore.
  • Vineet Gauhar
    Endourology Section, European Association of Urology, Arnhem, The Netherlands.
  • Thomas R W Herrmann
    Kantonspital Frauenfeld, Spital Thurgau AG, Frauenfeld, Switzerland.
  • Carlotta Nedbal
    ASST Fatebenefratelli Sacco, Urology, Milan, Italy. carlottanedbal@gmail.com.
  • Dmitry Enikeev
    Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
  • Jeremy Yuen-Chun Teoh
  • Sarvajit Biligere
    Department of Urology, Ng Teng Fong General Hospital, Singapore, Singapore.
  • Steffi Kar Kei Yuen
    Endourology section of the European Association of Urology, Arnhem, Netherlands.
  • Daniele Castellani
    Endourology Section, European Association of Urology, Arnhem, The Netherlands.
  • Bhaskar Kumar Somani
    Department of Urology, University Hospital Southampton, Tremona Road, Southampton, UK. bhaskarsomani@yahoo.com.
  • Patrick Juliebø-Jones
    Department of Urology, Haukeland University, Bergen, Norway.
  • Valerie Huei Li Gan
    Department of Urology, Singapore General Hospital, Singapore, Singapore; Singhealth Duke-NUS Transplant Center, Singapore, Singapore.
  • Edwin Jonathan Aslim
    Department of Urology, Singapore General Hospital, Singapore.
  • Ee Jean Lim
    Department of Urology, Singapore General Hospital, Singapore, Singapore. Electronic address: eejeanlim@gmail.com.

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