Impact of Introducing Artificial Intelligence on Colonoscopy: A Retrospective Study on Potential Benefits and Drawbacks.

Journal: Journal of gastroenterology and hepatology
Published Date: Jul 1, 2025

Abstract

BACKGROUND AND AIM: Computer-aided detection (CAD) can improve adenoma detection rates (ADRs); however, the impact of its introduction into real-world practice remains unclear. This study investigated the effect of CAD's introduction on colonoscopy in a hospital.

Authors

  • Ayaka Takasu
    Division of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Hirofumi Kogure
    Division of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Zhehao Dai
    Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. Electronic address: daizh@luke.ac.jp.
  • Yuki Yamada
    Faculty of Arts and Science, Kyushu University, Fukuoka, Japan.
  • Masako Nakayama
    Division of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Robert Bechara
    Queen's University, Kingston, ON, Canada.
  • Takuji Gotoda
    Division of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Yoshimasa Miura
    Division of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.

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