AI-based tool set to improve breast cancer diagnosis

An AI-based tool that improves breast cancer diagnosis and predicts the risk of recurrence has been developed by researchers in Sweden. The advance from a team at the Karolinska Institutet could lead to more personalised treatment for breast cancer patients with intermediate risk tumours. The results are published in Annals of Oncology. In the diagnostic procedure for breast cancer, tissue samples of the tumour are analysed and graded by a pathologist and categorised by risk as low (grade 1), medium (grade 2) or high (grade 3), which guides decisions on the most suitable treatment. "Roughly half of breast cancer patients have a grade 2 tumour, which unfortunately gives no clear guidance on how the patient is to be treated," said Yinxi Wang, a doctoral student at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet.