Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson's disease

计算机视觉揭示了左旋多巴治疗帕金森病运动功能改善的三个基本维度

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Abstract

We developed VisionMD, an AI computer vision platform, analyzing over 1200 clinical videos of Parkinson's patients' hand movements across 13 years. This large-scale, markerless analysis identified three kinematic domains (speed, consistency, timing/scale) reliably improved by levodopa. Our method offers objective, quantitative motor assessment, reducing subjectivity and enhancing reproducibility compared to traditional scales.

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