Effect of a novel artificial intelligence-based cecum recognition system on adenoma detection metrics in a screening colonoscopy setting.

Journal: Gastrointestinal endoscopy
Published Date: Sep 18, 2024

Abstract

BACKGROUND AND AIMS: Cecal intubation in colonoscopy relies on self-reporting. We developed an artificial intelligence-based cecum recognition system (AI-CRS) for post-hoc verification of cecal intubation and explored its impact on adenoma metrics.

Authors

  • Wen-Feng Hsu
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Wei-Yuan Chang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Chen-Ya Kuo
    Department of Internal Medicine, Fu Jen Catholic University Hospital, New Taipei City, Taiwan.
  • Li-Chun Chang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Hsuan-Ho Lin
    Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan.
  • Ming-Shiang Wu
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan; Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Han-Mo Chiu
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.

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