Effectiveness of Artificial Intelligence–Assisted Colposcopy in a Resource-Limited Population
Artificial intelligence-assisted colposcopy enhances sensitivity in detecting CIN 2+ and CIN 3+, particularly among postmenopausal women. Moreover, it improves the diagnostic performance of junior colposcopists and improves detection in women with a squamocolumnar junction that is not visible.
Authors
- Dianju Kang
- Yuqian Zhao (ORCID: https://orcid.org/0000-0002-2736-4766)
- Lingling Zhu
- Yining Chang
- Qiong Liao (ORCID: https://orcid.org/0000-0002-6929-6482)
- Jing-Chang Du
- H. J. Yang (ORCID: https://orcid.org/0009-0004-8274-9863)
- Xiaoping Yu
- Huijuan He
- Q. Kou
- Tingyuan Li (ORCID: https://orcid.org/0009-0008-7915-0840)
- Yulin Zhou (ORCID: https://orcid.org/0009-0009-4557-0369)
- Qiang Zhou
Institutions
- Twitter (United States) (US)
- National Confidential Enquiry into Patient Outcome and Death (GB)
- Sichuan Cancer Hospital (CN)
- Maternal and Child Health Hospital of Sichuan Province (CN)
Publication Details
- Journal
- Obstetrics and Gynecology
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1097/aog.0000000000006014
- Citations
- 1
- Primary Topic
- Cervical Cancer and HPV Research
- Type
- article
- Field-Weighted Citation Impact
- 1.35