Automated extraction of ESGO operative report fields from free-text surgical notes using large language models in advanced ovarian cancer.
- DOI
- 10.1016/j.ijgc.2026.104613
- Published
- 2026-02-28
- Container
- Int J Gynecol Cancer
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijgc.2026.104613,
title = {Automated extraction of ESGO operative report fields from free-text surgical notes using large language models in advanced ovarian cancer.},
author = {Laios A and Plakou G and Quaranta M and Kaufmann A and Theophilou G and Kalampokis E and Fotopoulou C.},
year = {2026},
journal = {Int J Gynecol Cancer},
doi = {10.1016/j.ijgc.2026.104613},
url = {https://doi.org/10.1016/j.ijgc.2026.104613}
}RIS
TY - JOUR TI - Automated extraction of ESGO operative report fields from free-text surgical notes using large language models in advanced ovarian cancer. AU - Laios A AU - Plakou G AU - Quaranta M AU - Kaufmann A AU - Theophilou G AU - Kalampokis E AU - Fotopoulou C. PY - 2026 JO - Int J Gynecol Cancer DO - 10.1016/j.ijgc.2026.104613 UR - https://doi.org/10.1016/j.ijgc.2026.104613 ER -
APA
A, L., G, P., M, Q., A, K., G, T., E, K., & C., F. (2026). Automated extraction of ESGO operative report fields from free-text surgical notes using large language models in advanced ovarian cancer.. Int J Gynecol Cancer. https://doi.org/10.1016/j.ijgc.2026.104613
Source records
- europe-pmc · retrieved 2026-09-26T01:23:12.374Z