Rapid Endoscopic Diagnosis of Benign Ulcerative Colorectal Diseases With an Artificial Intelligence Contextual Framework.

Journal: Gastroenterology
PMID:

Abstract

BACKGROUND & AIMS: Benign ulcerative colorectal diseases (UCDs) such as ulcerative colitis, Crohn's disease, ischemic colitis, and intestinal tuberculosis share similar phenotypes with different etiologies and treatment strategies. To accurately diagnose closely related diseases like UCDs, we hypothesize that contextual learning is critical in enhancing the ability of the artificial intelligence models to differentiate the subtle differences in lesions amidst the vastly divergent spatial contexts.

Authors

  • Xiaobei Luo
    Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China; Department of Gastroenterology, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China. Electronic address: luoxiaobei63@126.com.
  • Jiahao Wang
    Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, and Comprehensive Cancer Center, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Dr, Ann Arbor, MI, 48109, USA.
  • Chuanchuan Tan
    The First Hospital of Hunan University of Chinese Medicine, Hunan, China.
  • Qi Dou
  • Zelong Han
    Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Zhenjiang Wang
    Department of Gastroenterology, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China.
  • Farah Tasnim
    Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A∗STAR), Singapore.
  • Xiyu Wang
    Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Qiang Zhan
    Department of Gastroenterology, Wuxi People's Hospital, Affiliated Wuxi People's Hospital with Nanjing Medical University, Wuxi, Jiangsu 214023, China.
  • Xiang Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Qunyan Zhou
    Department of Gastroenterology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
  • Jianbin Cheng
    Department of Gastroenterology, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China.
  • Fabiao Liao
    Digestive Department of The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, China.
  • Hon Chi Yip
    Division of Upper Gastrointestinal and Metabolic Surgery, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong.
  • Jiayi Jiang
    Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Robby T Tan
    Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
  • Side Liu
    Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China; Department of Gastroenterology, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China. Electronic address: liuside2011@163.com.
  • Hanry Yu
    Department of Physiology, The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, MD9-04-11, 2 Medical Drive, Singapore, 117593, Singapore; Institute of Bioengineering and Bioimaging, A*STAR, The Nanos, #06-01, 31 Biopolis Way, Singapore, 138669, Singapore; CAMP, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Level 4 Enterprise Wing, Singapore, 138602, Singapore; Mechanobiology Institute, National University of Singapore, T-Lab, #05-01, 5A Engineering Drive 1, Singapore, 117411, Singapore; Ants Innovate Pte. Ltd., 7 Temasek Boulevard #12-07, Suntec Tower One, Singapore, 038987, Singapore; Lead Contact, Singapore. Electronic address: phsyuh@nus.edu.sg.