Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies.

Journal: BMC medicine
PMID:

Abstract

BACKGROUND: Colposcopy diagnosis and directed biopsy are the key components in cervical cancer screening programs. However, their performance is limited by the requirement for experienced colposcopists. This study aimed to develop and validate a Colposcopic Artificial Intelligence Auxiliary Diagnostic System (CAIADS) for grading colposcopic impressions and guiding biopsies.

Authors

  • Peng Xue
    National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Chao Tang
    School of Public Health, Dalian Medical University, Dalian, China.
  • Qing Li
    Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.
  • Yuexiang Li
    Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
  • Yu Shen
    Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM) Nanjing Tech University (NanjingTech) 30 South Puzhu Road Nanjing 211816 P. R. China.
  • Yuqian Zhao
    Center for Cancer Prevention Research, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Jiawei Chen
  • Jianrong Wu
  • Longyu Li
    Jiangxi Maternal and Child Health Hospital, Nanchang, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Yucong Li
    Chongqing University Cancer Hospital, Chongqing, China.
  • Xiaoli Cui
    Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China.
  • Shaokai Zhang
    Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou, China.
  • Wenhua Zhang
    Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
  • Xun Zhang
    Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
  • Kai Ma
    Tencent Jarvis Lab, Shenzhen, 518057, China.
  • Yefeng Zheng
  • Tianyi Qian
  • Man Tat Alexander Ng
    Tencent Healthcare, Shenzhen, China.
  • Zhihua Liu
    Department of Gynecology, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
  • Youlin Qiao
    National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. qiaoy@cicams.ac.cn.
  • Yu Jiang
    School of Pharmacy and Food Engineering, Wuyi University, Jiangmen, China.
  • Fanghui Zhao
    Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. zhaofangh@cicams.ac.cn.