Eye Tracking Analysis to Determine the Endoscopist's Recognition Rate for Artificial Intelligence-Detected Sites in Colonoscopy.

Journal: Digestive diseases and sciences
Published Date: Jul 24, 2025

Abstract

PURPOSE: Computer-aided detection systems (CADe) are used in screening colonoscopy; however, no study has quantitatively analyzed how endoscopists recognize candidate sites identified by CADe. The aim of this study was to determine the extent to which endoscopists could recognize CADe-detected sites.

Authors

  • Fumiaki Ishibashi
    Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, 6-1-14, Konodai, Ichikawa-Shi, Chiba, 272-0827, Japan.
  • Sho Suzuki
    Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, 6-1-14, Konodai, Ichikawa-Shi, Chiba, 272-0827, Japan. s.sho.salubriter.mail@gmail.com.
  • Kentaro Mochida
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Mizuki Nagai
    Graduate School of Medicine, International University of Health and Welfare, Tokyo, 107-8402, Japan.
  • Eri Ozaki
    Department of Gastroenterology, Shinmatsudo Central General Hospital, Chiba, 270-0034, Japan.
  • Kosuke Okusa
    Department of Data Science for Business Innovation, Faculty of Science and Engineering, Chuo University, Tokyo, 112-8551, Japan.

Keywords

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