Artificial intelligence for diagnosing gastric lesions under white-light endoscopy.

Journal: Surgical endoscopy
Published Date: Jul 25, 2022

Abstract

BACKGROUND: The ability of endoscopists to identify gastric lesions is uneven. Even experienced endoscopists may miss or misdiagnose lesions due to heavy workload or fatigue or subtle changes in lesions under white-light endoscopy (WLE). This study aimed to develop an artificial intelligence (AI) system that could diagnose six common gastric lesions under WLE and to explore its role in assisting endoscopists in diagnosis.

Authors

  • Xiang-Lei Yuan
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Yao Zhou
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.
  • Qi Luo
    B-DAT & CICAEET, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, PR China.
  • Xian-Hui Zeng
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Zhang Yi
  • Bing Hu
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.

Keywords

External Resources

Popular Topics
Recent Journals