shows potential for classifying ovarian lesions. However, a major limitation in medical AI research is the over-reliance on homogenous, retrospective datasets for training and validation, which often ...

A n MRI-based imaging technique developed at the University of Cambridge predicts the response of ovarian cancer tumors to treatment, and rapidly reveals how well treatment is working, in patient ...

Ovarian tumors are common and "often detected by ... There are other ways to evaluate ovarian cancer patients beyond radiology scans, the doctor noted. "Menopausal status, presence or absence ...

The study is published in Nature Medicine. "Ovarian tumors are common and are often detected by chance," says Professor Elisabeth Epstein at the Department of Clinical Science and Education ...

AI outperforms experts The researchers have developed and validated neural network models able to differentiate between benign and malignant ovarian lesions, having trained and tested the AI on ...

She was referred for imaging workup, which included an abdominal ultrasound examination that ... a right oophorectomy following which the patient's symptoms completely resolved. Histopathology of the ...