Identification of upper GI diseases during screening gastroscopy using a deep convolutional neural network algorithm.

Journal: Gastrointestinal endoscopy
Published Date:

Abstract

BACKGROUND AND AIMS: The clinical application of GI endoscopy for the diagnosis of multiple diseases using artificial intelligence (AI) has been limited by its high false-positive rates. There is an unmet need to develop a GI endoscopy AI-assisted diagnosis system (GEADS) to improve diagnostic accuracy and clinical utility.

Authors

  • Hang Yang
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.
  • Yu Wu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
  • Bo Yang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Min Wu
    Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
  • Jun Zhou
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.
  • Qin Liu
    School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
  • Yifei Lin
    Precision Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Shilin Li
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China.
  • Xue Li
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Rui Wang
    Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
  • Qianrong Xie
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.
  • Jingqi Li
    College of Aulin, Northeast Forestry University, Harbin, Heilongjiang, China.
  • Yue Luo
    Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Avenue, Wenjiang District, Chengdu 611137, China.
  • Mengjie Tu
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China; Department of Surgery, Shantou University Medical College, Shantou, Guangdong, China.
  • Xiao Wang
    Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
  • Haitao Lan
    Department of Sichuan, Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
  • Xuesong Bai
    Digestive endoscopy center, Dazhou Central Hospital, Dazhou 635000, China.
  • Huaping Wu
    College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China.
  • Fanwei Zeng
    Department of Spinal Surgery, Sichuan Province Orthopedic Hospital, Chengdu, Sichuan, China.
  • Hong Zhao
    Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China.
  • Zhang Yi
  • Fanxin Zeng
    Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.