A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images.

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 both cases, intraoperative localization was performed with an ultrasound machine model number: GE E9 (GE healthcare, WI, USA) and a 12–5 MHz 50 and 38 mm linear array ultrasound probe.

Nevertheless, the typical ultrasound features of malignant breast masses may vary in distinct tumor types. Knowledge about these variations would help the examiner to avoid the false ...

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.

Dr. Elisabeth Epstein, of the Karolinska Institutet, said: “Ovarian tumors are common and are often detected by chance. “There is a serious shortage of ultrasound experts in many parts of the ...