Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51477, first published .
Performance of a Full-Coverage Cervical Cancer Screening Program Using on an Artificial Intelligence– and Cloud-Based Diagnostic System: Observational Study of an Ultralarge Population

Performance of a Full-Coverage Cervical Cancer Screening Program Using on an Artificial Intelligence– and Cloud-Based Diagnostic System: Observational Study of an Ultralarge Population

Performance of a Full-Coverage Cervical Cancer Screening Program Using on an Artificial Intelligence– and Cloud-Based Diagnostic System: Observational Study of an Ultralarge Population

Journals

  1. Abrar S, Isa S, Hairon S, Ismail M, Kadir M. Recent advances in applications of machine learning in cervical cancer research: a focus on prediction models. Obstetrics & Gynecology Science 2025;68(4):247 View
  2. Taha R, Zain El Abdin H, Musleh T. Comparative Analysis of Supervised Machine Learning Models for PCOS Prediction Using Clinical Data. Journal of Engineering Research and Sciences 2025;4(06):16 View
  3. Linder N, Nyirenda D, Mårtensson A, Kaingu H, Ngasala B, Lundin J. AI supported diagnostic innovations for impact in global women’s health. BMJ 2025;391:e086009 View