The researchers developed an innovative method that accelerates and enhances MRI scans for breast cancer imaging, a disease diagnosed in approximately 2.3 million people each year, most of whom are women.

The new method, called ELITE, combines artificial intelligence with advanced mathematical models, enabling dynamic MRI with unprecedented speed and accuracy. This international study brings together expertise in engineering, MRI physics, artificial intelligence and clinical radiology.

Dr. Eddy Solomon of the Technion’s Faculty of Biomedical Engineering, the paper’s lead author, explains that the study focuses on dynamic MRI, a critical technology in breast cancer diagnosis. Dynamic MRI is used primarily for screening populations at high risk for breast cancer and is characterized by exceptionally high sensitivity, with more than 90% accuracy, compared with approximately 50%–60% for ultrasound and mammography combined. However, MRI technology faces a major challenge: Producing highly detailed images usually requires longer scan times, making it difficult to track the flow of contrast material through the examined tissue.