Artificial Intelligence in Gynaecology Oncology
- DOI
- 10.1111/1471-0528.70005
- Published
- 2025-10-14
- Container
- BJOG: An International Journal of Obstetrics & Gynaecology
- Publisher
- Wiley
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1111/1471-0528.70005,
title = {Artificial Intelligence in Gynaecology Oncology},
author = {S. Sawan and N. Eftekhari and K. Linton‐Reid and N. Wood and T. A. Numan and E. O. Aboagye and C. Angione and Unknown},
year = {2025},
journal = {BJOG: An International Journal of Obstetrics \& Gynaecology},
doi = {10.1111/1471-0528.70005},
url = {https://doi.org/10.1111/1471-0528.70005}
}RIS
TY - JOUR TI - Artificial Intelligence in Gynaecology Oncology AU - S. Sawan AU - N. Eftekhari AU - K. Linton‐Reid AU - N. Wood AU - T. A. Numan AU - E. O. Aboagye AU - C. Angione AU - Unknown PY - 2025 JO - BJOG: An International Journal of Obstetrics & Gynaecology DO - 10.1111/1471-0528.70005 UR - https://doi.org/10.1111/1471-0528.70005 ER -
APA
Sawan, S., Eftekhari, N., Linton‐Reid, K., Wood, N., Numan, T. A., Aboagye, E. O., Angione, C., & Unknown (2025). Artificial Intelligence in Gynaecology Oncology. BJOG: An International Journal of Obstetrics & Gynaecology. https://doi.org/10.1111/1471-0528.70005
Source records
- crossref · retrieved 2026-11-09T21:31:52.577Z