AI-driven software improves accuracy of Parkinson’s diagnoses

In a recent UF study, published in JAMA Neurology and funded by the National Institutes of Health, researchers have developed a new kind of software that will help clinicians differentially diagnose Parkinson’s disease and related conditions, reducing diagnostic time and increasing precision above 96%.