Developing an artificial intelligence model for phase recognition in robot-assisted radical prostatectomy.

Journal: BJU international
Published Date: Jul 22, 2025

Abstract

OBJECTIVES: To develop and evaluate a convolutional neural network (CNN)-based model for recognising surgical phases in robot-assisted laparoscopic radical prostatectomy (RARP), with an emphasis on model interpretability and cross-platform validation.

Authors

  • Hideto Ueki
    The Department of Urology, Kansai Rosai Hospital.
  • Munenori Uemura
    Department of Advanced Medical Initiatives, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Kiyoyuki Chinzei
  • Kosuke Takahashi
    Department of Urology, Kobe University Graduate School of Medicine, Kobe, Japan.
  • Naoto Wakita
    Department of Urology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
  • Yasuyoshi Okamura
    Department of Urology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
  • Kotaro Suzuki
    Department of Urology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
  • Yukari Bando
    Department of Urology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
  • Takuto Hara
    Department of Urology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
  • Tomoaki Terakawa
    1 A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
  • Akihisa Yao
    Division of Urology, Department of Surgery, Tottori University Faculty of Medicine, Yonago, Japan.
  • Jun Teishima
    Department of Urology, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan.
  • Koji Chiba
    Laboratory of Clinical Pharmacology, Yokohama University of Pharmacy, Kanagawa, Japan. Electronic address: k.chiba@hamayaku.ac.jp.
  • Hideaki Miyake
    Department of Urology Hamamatsu University School of Medicine Hamamatsu Japan.

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