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

作者：Florian Lange, Diego L. Guarín, Esther Ademola, Dalia Mahdy, Gabriela Acevedo, Thorsten Odorfer, Joshua K. Wong, Jens Volkmann, Robert L. Peach, Martin M. Reich · 发表于：npj Parkinson s Disease · 年份：2025 · DOI：10.1038/s41531-025-00999-w · 被引用次数：11 · 研究领域：Parkinson's Disease Mechanisms and Treatments、Muscle activation and electromyography studies、Neurological disorders and treatments

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.