AI-Driven predictive modeling of cervical intraepithelial neoplasia severity: a comprehensive analysis with clinical adoption frameworks.

Farzaneh F, Soltani A, Dastyar F, Mohammadi M, Hosseini MS

DOI: 10.1186/s12885-025-14974-4
Published: 2025 Oct 6
Container: BMC cancer
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12885-025-14974-4,
  title = {AI-Driven predictive modeling of cervical intraepithelial neoplasia severity: a comprehensive analysis with clinical adoption frameworks.},
  author = {Farzaneh F and Soltani A and Dastyar F and Mohammadi M and Hosseini MS},
  year = {2025},
  journal = {BMC cancer},
  doi = {10.1186/s12885-025-14974-4},
  url = {https://doi.org/10.1186/s12885-025-14974-4}
}

RIS

TY  - JOUR
TI  - AI-Driven predictive modeling of cervical intraepithelial neoplasia severity: a comprehensive analysis with clinical adoption frameworks.
AU  - Farzaneh F
AU  - Soltani A
AU  - Dastyar F
AU  - Mohammadi M
AU  - Hosseini MS
PY  - 2025
JO  - BMC cancer
DO  - 10.1186/s12885-025-14974-4
UR  - https://doi.org/10.1186/s12885-025-14974-4
ER  -

APA

F, F., A, S., F, D., M, M., & MS, H. (2025). AI-Driven predictive modeling of cervical intraepithelial neoplasia severity: a comprehensive analysis with clinical adoption frameworks.. BMC cancer. https://doi.org/10.1186/s12885-025-14974-4

Source records

pubmed · retrieved 2026-09-26T15:56:00.189Z