Predicting cervical intraepithelial neoplasia and determining the follow-up period in high-risk human papillomavirus patients.

Journal: Frontiers in oncology
Published Date: Jan 17, 2024

Abstract

PURPOSE: Despite strong efforts to promote human papillomavirus (HPV) vaccine and cervical cancer screening, cervical cancer remains a threat to women's reproductive health. Some high-risk HPV types play a crucial role in the progression of cervical cancer and precancerous lesions. Therefore, HPV screening has become an important means to prevent, diagnose, and triage cervical cancer. This study aims to leverage artificial intelligence to predict individual risks of cervical intraepithelial neoplasia (CIN) in women with high-risk HPV infection and to recommend the appropriate triage strategy and follow-up period according to the risk level.

Authors

  • Ling Gong
    Department of Nursing, School of Nursing, Beihua University, Jilin, China.
  • Yingxuan Tang
    Department of Computer Science and Technology, School of Computer Science, Northeast Electric Power University, Jilin, China.
  • Hua Xie
    Department of Gynecology, Jilin Central General Hospital, Jilin, China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.
  • Yali Sun
    Department of Nursing, School of Nursing, Beihua University, Jilin, China.

Keywords

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