The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Journal: Cancer medicine
Published Date:

Abstract

BACKGROUND: Adequate cytology is limited by insufficient cytologists in a large-scale cervical cancer screening. We aimed to develop an artificial intelligence (AI)-assisted cytology system in cervical cancer screening program.

Authors

  • Heling Bao
    Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
  • Xiaorong Sun
    Landing Cloud Medical Laboratory Co., Wuhan, China.
  • Yi Zhang
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Baochuan Pang
    Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.
  • Hua Li
    Department of Stomatology, The First Medical Center Chinese PLA General Hospital Beijing China.
  • Liang Zhou
    Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China. liang.zhou@fdeent.org.
  • Fengpin Wu
    Landing Cloud Medical Laboratory Co., Wuhan, China.
  • Dehua Cao
    Landing Cloud Medical Laboratory Co., Wuhan, China.
  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Bojana Turic
    Landing Cloud Medical Laboratory Co., Wuhan, China.
  • Linhong Wang
    Landing Cloud Medical Laboratory Co., Wuhan, China.