Artificial intelligence in nongynecologic cytology: A systematic review of current research and commercial tools
AI in non-GYN cytology shows promise but remains limited by data set quality, weak external validation, and regulatory barriers. At present, AI tools function primarily as decision-support systems. Advancing clinical adoption will require multicenter validation, standardized data sets, and careful integration with expert interpretation.
Authors
- Yosep Chong (ORCID: https://orcid.org/0000-0001-8615-3064)
- Tsandmaa Byambadorj
- Mohammad Rizwan Alam
Institutions
- Catholic University of Korea (KR)
Publication Details
- Journal
- Cancer Cytopathology
- Published
- 2026-03-20
- DOI
- https://doi.org/10.1002/cncy.70092
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00