Use of artificial intelligence to measure colorectal polyp size without a reference object.

Journal: Endoscopy international open
Published Date: Jan 1, 2025

Abstract

BACKGROUND AND STUDY AIMS: Polyp size is crucial for determining colonoscopy surveillance intervals. We present an artificial intelligence (AI) model for colorectal polyp size measurement without a reference object.

Authors

  • Chin-Yuan Yii
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Landseed International Medical Group, Taoyuan, Taiwan.
  • Ding-Ek Toh
    Department of Gastroenterology, Flinders Medical Centre, Bedford Park, Australia.
  • Tzu-An Chen
    Division of Colorectal Surgery, Department of Surgery, Landseed International Medical Group, Taoyuan, Taiwan.
  • Wei-Lun Hsu
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Landseed International Medical Group, Taoyuan, Taiwan.
  • Huang-Jen Lai
    Division of Colorectal Surgery, Department of Surgery, Landseed International Medical Group, Taoyuan, Taiwan.
  • Yin-Chen Wang
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Landseed International Medical Group, Taoyuan, Taiwan.
  • Chang-Ru Liu
    Nursing Department, Landseed International Medical Group, Taoyuan, Taiwan.
  • Yow-Chii Kuo
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Landseed International Medical Group, Taoyuan, Taiwan.
  • Shih-Hao Young
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Landseed International Medical Group, Taoyuan, Taiwan.
  • Fu-Ming Chang
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Landseed International Medical Group, Taoyuan, Taiwan.
  • Chen Lin
    Faculty of Business and Economics, University of Hong Kong, Hong Kong SAR 999077, China.

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