For the nearly 20,000 women in the U.S. who receive an ovarian cancer diagnosis each year ... The AI model was trained on more than 17,000 ultrasound images from 3,652 patients across 20 hospitals ...

About six weeks after her symptoms began, she insisted on an ultrasound and was eventually ... doctors told her she had low-grade serous ovarian cancer, but she later learned she had borderline ...

Messenger RNA (mRNA) levels of the RNase III enzymes, Dicer and Drosha, are associated with clinical outcomes in patients with ovarian cancer, according to US researchers. High expression of both ...

A mathematical modeling study conducted in Germany suggests that ovarian cancer incidence could be reduced and health care ...

Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian cancer ...

and therefore could not predict the type of cancer present. This technique tells us how aggressive an ovarian cancer tumor is, and could allow doctors to assess multiple tumors in a patient to ...