Non-invasive, automated MRI for Parkinson’s diagnosis
A research team led by UF’s David Vaillancourt, Ph.D., used a non-invasive MRI method with 1,002 patients to develop an automated system to accurately diagnose Parkinson’s disease and related but different neurodegenerative disorders.