AI-powered video analysis tool improves monitoring of Parkinson’s movement symptoms

A University of Florida researcher has developed an open-source computer program that uses artificial intelligence to analyze videos of patients with Parkinson's disease and other movement disorders. The tool, called VisionMD, helps doctors more accurately monitor subtle motor changes, improving patient care and advancing clinical research.

Diego Guarin, Ph.D., an assistant professor of applied physiology and kinesiology in UF’s College of Health and Human Performance, created the software to address the potential risk of inconsistency and subjectivity in traditional clinical assessments.

“If the three of us watched the same video of a patient, we might rate the severity at three different levels. But the software gives us precise, unbiased data,” said Dr. Florian Lange, a neurologist at University Hospital Würzburg.

“Over the years, we have shown through our research that video analysis of patients performing finger-tapping and other movements provides valuable information about how the disease is progressing and responding to medications or deep brain stimulation,” Guarin said. “However, clinicians don’t have the time and personnel to analyze their videos. To address this, we have developed software that can deliver useful results with just a few clicks.”

Sign up for Blog Updates