Ovarian tumors, often detected incidentally, pose a diagnostic challenge that requires careful management. Decisions depend on assessing the malignancy risk and addressing patient symptoms. For benign ...

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.

Some risk factors for epithelial ovarian cancer are modifiable, according to a study published online Jan. 6 in the I ...

Researchers from Rice University and Baylor College of Medicine have developed a new treatment that eliminates advanced-stage ...

According to the Centers for Disease Control and Prevention ( CDC ), ovarian cancer may cause vaginal bleeding, pelvic pain, ...

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 ...

ovarian cancer progressing under taxane/carboplatin chemotherapy or in early relapse (< 6 months).

Screening for risk factors of ovarian cancer using artificial intelligence, UniSA researchers found that the oral ...

In the context of cervical cancer, recent studies have explored ... Immature teratoma: A type of malignant ovarian germ cell tumor that can contain various types of tissue, such as hair, muscle ...

Artificial intelligence is better than doctors at spotting ovarian cancer, according to new research ... able to differentiate between benign and malignant ovarian lesions. The team trained ...