To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

A mathematical modeling study conducted in Germany suggests that ovarian cancer incidence could be reduced and healthcare savings boosted if women who have already completed their families were ...

In a new study led by researchers at Karolinska Institutet in Sweden, AI models did a better job of detecting ovarian cancer than human experts. Doctors and AI experts weigh in.

A study shows AI models improve ovarian carcinoma subtyping, offering higher accuracy and efficiency for clinical diagnosis.