Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy reading.

Journal: Journal of gastroenterology and hepatology
Published Date: Oct 13, 2023

Abstract

BACKGROUND AND AIM: Convolutional neural network (CNN) systems that automatically detect abnormalities from small-bowel capsule endoscopy (SBCE) images are still experimental, and no studies have directly compared the clinical usefulness of different systems. We compared endoscopist readings using an existing and a novel CNN system in a real-world SBCE setting.

Authors

  • Tomonori Aoki
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Atsuo Yamada
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Shiro Oka
    Department of Gastroenterology & Metabolism, Hiroshima University Hospital, Hiroshima, Japan.
  • Mayo Tsuboi
    Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Ken Kurokawa
    Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Daichi Togo
    Department of Gastroenterology, Sendai Kousei Hospital, Sendai, Japan.
  • Fumiaki Tanino
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Hajime Teshima
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Hiroaki Saito
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Ryuta Suzuki
    Department of Gastroenterology, Sendai Kousei Hospital, Sendai, Japan.
  • Junya Arai
    Department of Gastroenterology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
  • Sohei Abe
    Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Ryo Kondo
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Aya Yamashita
    Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Akiyoshi Tsuboi
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Ayako Nakada
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ryota Niikura
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yosuke Tsuji
    Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Yoku Hayakawa
    Department of Gastroenterology, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
  • Tomoki Matsuda
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Masato Nakahori
    Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan.
  • Shinji Tanaka
    Department of Endoscopy, Hiroshima University Hospital, Hiroshima, Japan.
  • Yusuke Kato
    AI Medical Service Inc., Tokyo, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.
  • Mitsuhiro Fujishiro
    Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Endoscopy and Endoscopic Surgery, The University of Tokyo, Tokyo, Japan.

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