Artificial intelligence in endometrial cancer: multimodal deep learning and future perspectives in precision gynecologic oncology — a structured narrative review

Erik Lajtman, Michaela Miškovičová, Peter Dobročan, Alexandra Pôbišová, Rastislav Sysák

Open source

DOI: 10.3389/fonc.2026.1910139
Published: 2026-09-07
Container: Frontiers in Oncology
Publisher: Frontiers Media SA
Open access: unknown

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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 = {Erik Lajtman and Michaela Miškovičová and Peter Dobročan and Alexandra Pôbišová and Rastislav Sysák},
  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  - Erik Lajtman
AU  - Michaela Miškovičová
AU  - Peter Dobročan
AU  - Alexandra Pôbišová
AU  - Rastislav Sysák
PY  - 2026
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.1910139
UR  - https://doi.org/10.3389/fonc.2026.1910139
ER  -

APA

Lajtman, E., Miškovičová, M., Dobročan, P., Pôbišová, A., & Sysák, R. (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

crossref · retrieved 2026-11-10T14:53:17.315Z