Angelika Kaufmann

No ORCID on file · 1 paper in corpus

other 2026

Automated extraction of ESGO operative report fields from free-text surgical notes using large language models in advanced ovarian cancer

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society ·doi:10.1016/j.ijgc.2026.104613

OBJECTIVE: To determine whether large language models (LLMs) can automatically extract organ-level disease involvement to populate the Surgical Findings section of the European Society of Gynaecological Oncology (ESGO) Operative Report for …