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Review
. 2025 Nov 28.
doi: 10.1186/s13027-025-00716-5. Online ahead of print.

Artificial intelligence-driven screening, early diagnosis, and treatment strategies for cervical cancer: an overview

Mayuri Pawar #  1 , Samradni Pingale #  1 , Kavita Kadam  1 , Ashwini Jadhav  2 , Ruchika Kaul-Ghanekar  3   4
Affiliations
Free article
Review

Artificial intelligence-driven screening, early diagnosis, and treatment strategies for cervical cancer: an overview

Mayuri Pawar et al. Infect Agent Cancer. .
Free article
No abstract available

Keywords: AI algorithms; Artificial intelligence; Cervical cancer; Metabolome; Vaginal microbiome.

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Conflict of interest statement

Declarations. Ethical considerations: This study involved the synthesis of existing, publicly available data, requiring no additional ethical approval. The process adhered to principles of academic integrity through proper attribution of all included studies, contact with authors for clarification when needed, Transparent reporting of conflicts of interest, and Avoidance of selective reporting of results. Since no data was generated during the study, the ‘clinical trial number is not applicable’. Consent for publication: For this type of study, consent for publication is not required. Competing interests: The authors declare no competing interests.

References

    1. Singh M, Jha RP, Shri N, et al. Secular trends in incidence and mortality of cervical cancer in India and its states, 1990–2019: data from the global burden of disease 2019 study. BMC Cancer. 2022;22(1):149. https://doi.org/10.1186/s12885-022-09232-w.
    1. Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49. https://doi.org/10.3322/caac.21660.
    1. Swain M. Update in pathological classification of cervical intraepithelial neoplasia and cervical cancer. J Colposcopy Low Genit Tract Pathol. 2023;1(2):56–63. https://doi.org/10.4103/JCLGTP.JCLGTP_17_23.
    1. Bogale AL, Teklehaymanot T, Kassie GM, et al. Performance of visual inspection with acetic acid for cervical cancer screening as compared to human papillomavirus deoxyribonucleic acid testing among women with HIV in Ethiopia: a comparative cross-sectional study. Cancer Control. 2022;1–7. https://doi.org/10.1177/10732748221114980.
    1. Wang CW, Liou YA, Lin YJ, et al. Artificial intelligence-assisted fast screening cervical high grade squamous intraepithelial lesion and squamous cell carcinoma diagnosis and treatment planning. Sci Rep. 2021;11(1):16244. https://doi.org/10.1038/s41598-021-95545-y.

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