Pathologist-level diagnosis of ulcerative colitis inflammatory activity level using an automated histological grading method.

Journal: International journal of medical informatics
PMID:

Abstract

BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) is a global disease that is evolving with increasing incidence. However, there are few works on computationally assisted diagnosis of IBD based on pathological images. Therefore, based on the UK and Chinese IBD diagnostic guidelines, our study established an artificial intelligence-assisted diagnostic system for histologic grading of inflammatory activity in ulcerative colitis (UC).

Authors

  • Chengfei Cai
    School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China;Jiangsu Key Laboratory of Large Data Analysis Technology, Nanjing 210044, P.R.China.
  • Qianyun Shi
    Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu Province, China.
  • Jun Li
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Yiping Jiao
    Shool of Automation, Southeast University, 2nd Sipailou Road, Nanjing, China. Electronic address: ping@seu.edu.cn.
  • Andi Xu
    Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
  • Yangshu Zhou
    Department of Pathology, Zhujiang Hospital of Southern Medical University, Guangzhou 510280, Guangdong Province, China.
  • Xiangxue Wang
    lnstitute for Al in Medicine, School of Artificial lntelligence, Nanjing University of Information Science and Technology, Nanjing, China.
  • Chunyan Peng
    Department of Gastroenterology, Nanjing Drum Tower Hospital, Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210008, China; Department of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210008, China.
  • Xiaoqi Zhang
    Sichuan University, West China Hospital of Stomatology, Department of Orthodontontics, State Key Laboratory of Oral Disease, National Clinical Research Centre of Oral Disease, Chengdu, China.
  • Xiaobin Cui
    Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu Province, China.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Jun Xu
    Department of Nephrology, The Affiliated Baiyun Hospital of Guizhou Medical University, Guizhou, China.
  • Qi Sun
    Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai, 200072, P.R.China.