Deep learning-based lesion detection and severity grading of small-bowel Crohn's disease ulcers on double-balloon endoscopy images.

Journal: Gastrointestinal endoscopy
PMID: 38065509

Abstract

BACKGROUND AND AIMS: Double-balloon endoscopy (DBE) is widely used in diagnosing small-bowel Crohn's disease (CD). However, CD misdiagnosis frequently occurs if inexperienced endoscopists cannot accurately detect the lesions. The CD evaluation may also be inaccurate owing to the subjectivity of endoscopists. This study aimed to use artificial intelligence (AI) to accurately detect and objectively assess small-bowel CD for more refined disease management.

Authors

  • Wanqing Xie
  • Jing Hu
    College of Chemistry, Sichuan University Chengdu 610064 People's Republic of China xmpuscu@scu.edu.cn +86 028 8541 2290.
  • Pengcheng Liang
    Biomedical Engineering Department, Columbia University, New York, NY, United States of America.
  • Qiao Mei
    Department of Gastroenterology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Aodi Wang
    Department of Intelligent Medical Engineering, School of Biomedical Engineering, Anhui Medical University, Hefei, China.
  • Qiuyuan Liu
    Department of Gastroenterology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Xiaofeng Liu
    Changzhou Key Laboratory of Robots & Intelligent Technology, Hohai University, China.
  • Juan Wu
  • Xiaodong Yang
    Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Nannan Zhu
    School of Pharmaceutical Sciences, Jiangnan University, Wuxi, 214122, Jiangsu, China.
  • Bingqing Bai
    Department of Gastroenterology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Yiqing Mei
    Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhen Liang
    Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan; School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China. Electronic address: jane-l@sys.i.kyoto-u.ac.jp.
  • Wei Han
    Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, The Key Laboratory of New Drug Pharmacology and Toxicology, Ministry of Education, Collaborative Innovation Center of Hebei Province for Mechanism, Diagnosis and Treatment of Neuropsychiatric Diseases, Hebei Medical University, Shijiazhuang, Hebei, China.
  • Mingmei Cheng
    Department of Intelligent Medical Engineering, School of Biomedical Engineering, Anhui Medical University, Hefei, China; Department of Psychology, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China. Electronic address: chengmm68@gmail.com.

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