AI tool reveals nuances in Parkinson’s disease progression

Scientists at the University of Florida have developed an AI-powered tool to help neurologists track Parkinson’s disease progression. This tool analyzes videos of patients performing the finger-tapping test, identifying subtle alterations in movement that may be difficult for clinicians to see. The AI system, using machine learning and UF's HiPerGator supercomputer, offers detailed movement analysis, providing new insights into how Parkinson's affects hand movements. This technology, which can be used via a smartphone app, simplifies and enhances the monitoring of disease progression, potentially transforming clinical trials and patient care.