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
AI-assisted diagnosis has proven to be accessible, efficient, reliable, and low cost, which could support the implementation of full-coverage screening programs, especially in areas with insufficient health resources. AI technology served as a crucial tool for rapidly and effectively increasing screening coverage, which would accelerate the achievement of the World Health Organization's goals of eliminating cervical cancer.
Authors
- Yifan Yao (ORCID: https://orcid.org/0009-0005-3514-4025)
- Lü Ji
- Shangfeng Tang (ORCID: https://orcid.org/0000-0001-8178-2486)
- Shanshan Yin (ORCID: https://orcid.org/0009-0000-5942-7058)
- Lan Yao (ORCID: https://orcid.org/0000-0001-6560-5631)
- Dandan Yu
- Wen Chen (ORCID: https://orcid.org/0009-0004-4129-4022)
- Fu Yun
Institutions
- Wuhan University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Fifth Hospital In Wuhan (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-11-20
- DOI
- https://doi.org/10.2196/51477
- Citations
- 6
- Primary Topic
- Cervical Cancer and HPV Research
- Type
- article
- Field-Weighted Citation Impact
- 2.32