A Machine Learning Contest Enhances Automated Freezing Of Gait Detection And Reveals Time-of-day Effects

This article discusses the use of machine learning models to automatically detect freezing of gait (FOG) in Parkinson’s disease patients. The models were developed through a global competition and showed high agreement with gold-standard FOG measures. The study highlights the potential for machine learning to improve FOG detection and management in Parkinson’s disease.