What the Trained Eye Cannot See: Detecting Movement Defects in Early-Stage Parkinson’s Disease

A technique that uses videos and machine learning to quantify motor symptoms in early-stage Parkinson’s disease could help reveal signs of the disease and other movement disorders earlier, which could lead to better treatment outcomes.

In a study published in Parkinsonism and Related Disorders, a team of researchers from the University of Florida and the Norman Fixel Institute for Neurological Diseases at UF Health shows that video assessment can help detect early Parkinsonism in an individual by comparing the movement of the left and right sides of their body.

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