Automated artificial intelligence-based phase-recognition system for esophageal endoscopic submucosal dissection (with video).

Journal: Gastrointestinal endoscopy
Published Date: Jan 5, 2024

Abstract

BACKGROUND AND AIMS: Endoscopic submucosal dissection (ESD) for superficial esophageal cancer is a multistep treatment involving several endoscopic processes. Although analyzing each phase separately is worthwhile, it is not realistic in practice owing to the need for considerable manpower. To solve this problem, we aimed to establish a state-of-the-art artificial intelligence (AI)-based system, specifically, an automated phase-recognition system that can automatically identify each endoscopic phase based on video images.

Authors

  • Tasuku Furube
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Masashi Takeuchi
    Department of Surgery Keio University School of Medicine Tokyo Japan.
  • Hirofumi Kawakubo
    Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
  • Yusuke Maeda
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Satoru Matsuda
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Kazumasa Fukuda
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Rieko Nakamura
    Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Motohiko Kato
    Center for Diagnostic and Therapeutic Endoscopy, Keio University School of Medicine, Tokyo, Japan.
  • Naohisa Yahagi
    Division of Research and Development for Minimally Invasive Treatment, Cancer Center, Keio University School of Medicine, Tokyo, Japan.
  • Yuko Kitagawa
    Department of Surgery Keio University School of Medicine Tokyo Japan.

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