Artificial Intelligence-assisted Video Colonoscopy for Disease Monitoring of Ulcerative Colitis: A Prospective Study.

Journal: Journal of Crohn's & colitis
PMID:

Abstract

BACKGROUNDS AND AIMS: The Mayo endoscopic subscore [MES] is the most popular endoscopic disease activity measure of ulcerative colitis [UC]. Artificial intelligence [AI]-assisted colonoscopy is expected to reduce diagnostic variability among endoscopists. However, no study has been conducted to ascertain whether AI-based MES assignments can help predict clinical relapse, nor has AI been verified to improve the diagnostic performance of non-specialists.

Authors

  • Noriyuki Ogata
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Yasuharu Maeda
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Masashi Misawa
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Tsuzuki-ku, Yokohama, 224-8503, Japan.
  • Kento Takenaka
    Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kaoru Takabayashi
    Center for Diagnostic and Therapeutic Endoscopy, Keio University School of Medicine, Tokyo, Japan.
  • Marietta Iacucci
    National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.
  • Takanori Kuroki
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Kazumi Takishima
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Keisuke Sasabe
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan.
  • Yu Niimura
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan.
  • Jiro Kawashima
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan.
  • Yushi Ogawa
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Katsuro Ichimasa
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Hiroki Nakamura
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Shingo Matsudaira
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Seiko Sasanuma
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan.
  • Takemasa Hayashi
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Kunihiko Wakamura
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Hideyuki Miyachi
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Toshiyuki Baba
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Yuichi Mori
    Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, and Department of Transplantation Medicine Oslo University Hospital, Oslo, Norway; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan. Electronic address: ibusiginjp@gmail.com.
  • Kazuo Ohtsuka
    Tokyo Medical and Dental University, Tokyo, Japan (K.O.).
  • Haruhiko Ogata
    Center for Diagnostic and Therapeutic Endoscopy, Keio University School of Medicine, Tokyo, Japan.
  • Shin-Ei Kudo
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Tsuzuki-ku, Yokohama, 224-8503, Japan.