Application of artificial intelligence in cervical cytology: a systematic review of deep learning models, datasets, and reported metrics
This review synthesizes current trends in AI-based cervical cytology, highlights common methodological limitations, and proposes directions for future research to enhance clinical applicability and standardization.
Authors
- Diego Rodriguez (ORCID: https://orcid.org/0000-0001-6049-9980)
- Sánchez Dávila Keller
- Nelly Reátegui-Lozano
- Lloy Pinedo
- Ciro Rodríguez
- Lolita Arévalo-Fasanando
- Miguel Angel Valles-Coral
Institutions
- Peruvian University of Applied Sciences (PE)
- National University of San Marcos (PE)
- Universidad Nacional de San Martín (PE)
- Universidad Norbert Wiener (PE)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3389/fdata.2025.1678863
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00