AI breakthrough could make breast cancer MRI scans faster, sharper and more accessibl

Researchers at the Technion and in the United States have developed a new AI-based method called ELITE to enhance MRI scans, potentially improving both speed and accuracy.
ELITE combines artificial intelligence with advanced mathematical modeling, specifically aimed at improving dynamic MRI for applications such as breast cancer imaging.
The method allows for the generation of one MRI image per second, overcoming the usual limitations where higher image detail extends scan time.
ELITE reduces noise and distortion, enhancing the visibility of small tumors, differentiating between benign and malignant tumors, and characterizing tumor biological features.
The technique was tested involving 54 patients, showing improvements in tumor visibility, quality, and diagnostic sensitivity compared to existing methods.
Besides breast imaging, ELITE’s potential extends to brain, head, and neck imaging, potentially aiding other imaging platforms to deliver faster, precise, and personalized diagnostic data.
The study included contributions from Weill Cornell Medical College and NYU’s Center, funded by grants from the National Institutes of Health and RSNA Research.
The method’s creator, Dr. Eddy Solomon, aims to accelerate MRI scans, improve their accuracy, and enhance accessibility to a wider patient population.

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