Abstract High-grade serous ovarian cancer (HGSOC) presents a significant clinical challenge due to limited prognostic tools, hindering personalized treatment strategies. Improved risk stratification through accurate survival prediction can lead to tailored interventions and better patient care. Artificial intelligence (AI), particularly deep learning, offers a promising avenue for extracting and integrating the rich information contained within haematoxylin and eosin (H 2025 Sep 19-21; Denver, CO. Philadelphia (PA): AACR; Cancer Res 2025;85 (18Suppl): Abstract nr IA025.
Heba Sailem (Fri,) studied this question.