An AI-based approach using computer vision for the early detection of Parkinson’s disease by analyzing facial emotions and motor symptoms. Deep learning models will process subtle changes in facial expressions and movement patterns from video data to identify early biomarkers. The study aims to develop an efficient, non-invasive diagnostic tool for timely intervention and improved patient outcomes.
Deep learning, Biomedical Signal Processing, Computer Vision, Medical AI & Neuroinformatics, Research
