Clinical evaluation of an artificial intelligence-assisted cytological system among screening strategies for a cervical cancer high-risk population.

Journal: BMC cancer
Published Date: Jun 27, 2024

Abstract

BACKGROUND: Primary cervical cancer screening and treating precancerous lesions are effective ways to prevent cervical cancer. However, the coverage rates of human papillomavirus (HPV) vaccines and routine screening are low in most developing countries and even some developed countries. This study aimed to explore the benefit of an artificial intelligence-assisted cytology (AI) system in a screening program for a cervical cancer high-risk population in China.

Authors

  • Wen Yang
    Department of Pharmaceutical Analysis, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing, 210009, China; Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing, 210009, China.
  • Xiangshu Jin
    Department of Obstetrics and Gynaecology, the Seventh Medical Centre of Chinese PLA General Hospital, Beijing, China.
  • Liying Huang
    College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Shufang Jiang
    Department of Obstetrics and Gynecology, the First Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Jia Xu
    Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (Nanjing Tech), 30 South Puzhu Road, Nanjing, 211816, P.R. China.
  • Yurong Fu
    Department of Obstetrics and Gynecology, the First Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Yaoyao Song
    iDeepWise Artificial Intelligence Robot Technology (Beijing) Co., LTD, 12 Shangdi Xinxin Road, Beijing, China.
  • Xueyan Wang
  • Xueqing Wang
    Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China.
  • Zhiming Yang
    Shenzhen Baoan Authentic TCM Therapy Hospital, Shenzhen, 518101, China.
  • Yuanguang Meng
    the First Medical Centre (all authors), Chinese PLA General Hospital. Electronic address: meng6512@vip.sina.com.

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