Making sense of the story: using AI to turn ovarian cancer operative notes into ESGO-compliant reports

International Journal of Gynecological Cancer 2026

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Authors: Alexandros Laios, Michela Quaranta, Georgios Plakou, Angelika Kaufmann, Amudha Thanagavelu, Georgios Theophilou, Evangelos Kalampokis, C.H.R.I.S.T.I.N.A. Fotopoulou
DOI: 10.1016/j.ijgc.2025.103082
Cited by: 0

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Nursing Diagnosis and Documentation Ovarian cancer diagnosis and treatment

Publication details

Journal / source
International Journal of Gynecological Cancer
Volume
36
Issue
2
Pages
103082–103082
Publication date
1 February 2026
Language
EN