Smartphone videos are a scalable tool for gait evaluation in Parkinson’s disease

Abstract

Han et al. show that deep learning applied to simple smartphone videos can match specialist ratings of gait impairment, detect medication effects, and surface novel movement features as candidate biomarkers in Parkinson’s disease. These steps toward remote, objective gait assessment complement advances in wearable-powered symptom tracking and promise extended access to care alongside enriched clinical trial metrics. To realize these benefits, implementation research focused on validating care models is needed.