Artificial intelligence in endometrial cancer: multimodal deep learning and future perspectives in precision gynecologic oncology - a structured narrative review.
- DOI
- 10.3389/fonc.2026.1910139
- Published
- 2026
- Container
- Frontiers in oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2026.1910139,
title = {Artificial intelligence in endometrial cancer: multimodal deep learning and future perspectives in precision gynecologic oncology - a structured narrative review.},
author = {Lajtman E and Miškovičová M and Dobročan P and Pôbišová A and Sysák R},
year = {2026},
journal = {Frontiers in oncology},
doi = {10.3389/fonc.2026.1910139},
url = {https://doi.org/10.3389/fonc.2026.1910139}
}RIS
TY - JOUR TI - Artificial intelligence in endometrial cancer: multimodal deep learning and future perspectives in precision gynecologic oncology - a structured narrative review. AU - Lajtman E AU - Miškovičová M AU - Dobročan P AU - Pôbišová A AU - Sysák R PY - 2026 JO - Frontiers in oncology DO - 10.3389/fonc.2026.1910139 UR - https://doi.org/10.3389/fonc.2026.1910139 ER -
APA
E, L., M, M., P, D., A, P., & R, S. (2026). Artificial intelligence in endometrial cancer: multimodal deep learning and future perspectives in precision gynecologic oncology - a structured narrative review.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1910139
Source records
- pubmed · retrieved 2026-09-25T10:35:14.763Z