SPONSORED: UT Health San Antonio's novel AI algorithm can count brain lesions that signal a risk of stroke.
Mohamad Habes, PhD, assistant professor of radiology and director of the Biggs Institute's neuroimaging core, leads a UT Health San Antonio team in developing an artificial intelligence tool that counts brain lesions on MRIs in seconds.Stroke has occurred several times in your family. Aunt Mary suffered hers at the dinner table on a holiday. The fork she was holding fell to the table. Grandmother Sadie’s happened during her last years when you were away at college.
In the neurology clinic at UT Health San Antonio’s Medical Arts and Research Center, your doctor recommends a brain MRI. You have it done in the imaging suite a few floors down. You are 61 years old with many years of productivity remaining — family to love and plans to travel and do volunteer work once you retire. It’s upsetting that these tiny sacs show up on your MRI. But even more sobering is the fact that they might have gone undetected until a disabling or fatal stroke ended your dreams.assistant professor of radiology at the UT Health Science Center and director of the Biggs Institute neuroimaging core.
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