A Meta-analysis of the application of artificial intelligence in cervical cytopathology diagnosis
10.3760/cma.j.cn112150-20240711-00560
- VernacularTitle:人工智能在宫颈细胞病理学诊断中应用的Meta分析
- Author:
Zichen YE
1
;
Qu LU
;
Peng XUE
;
Yu JIANG
Author Information
1. 中国医学科学院北京协和医学院群医学及公共卫生学院，北京 100730
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Cervical cancer;
Cytopathology;
Meta-analysis
- From:
Chinese Journal of Preventive Medicine
2025;59(5):572-580
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To systematically evaluate the application of artificial intelligence (AI) in cervical cytopathology diagnosis.Methods:A systematic search was conducted using the keywords ′′cervical cancer′′ ′′cytology′′ ′′artificial intelligence′′ ′′sensitivity′′ and ′′specificity′′ (in both English and Chinese) across databases including PubMed, Web of Science, Embase, Cochrane Library, IEEE Xplore, CNKI, Wanfang, VIP Chinese Science and Technology Journals, and SinoMed. The search covered literature from inception until January 1, 2024, on the application of AI in cervical cytopathological diagnosis. Data were extracted using a predefined data extraction form to compile the contingency table data, from which sensitivity, specificity and area under the curve (AUC) were calculated.Results:A total of 1 616 articles were initially retrieved, and 27 articles were finally included in this study according to the inclusion and exclusion criteria. Five researches were conducted on the diagnosis of cytopathology slides, with pooled AUC, sensitivity and specificity of 0.92 (95% CI: 0.89-0.94), 0.91 (95% CI: 0.77-0.97) and 0.84 (95% CI: 0.77-0.90), respectively. About 22 researches were conducted on the diagnosis of cytopathology images (individual cells or cell clusters), with pooled AUC, sensitivity and specificity of 1.00 (95% CI: 0.99-1.00), 0.98 (95% CI: 0.97-0.99) and 0.98 (95% CI: 0.97-0.99), respectively. Conclusion:The application of AI in the field of cervical cytopathology shows certain diagnostic performance and potential clinical application value.
