Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease
Florian Lange, Diego L. Guarín, Esther Ademola, Dalia Mahdy, Gabriela Acevedo, Thorsten Odorfer, Joshua K. Wong, Jens Volkmann, Robert L. Peach, Martin M. Reich
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.
Topics & Concepts
Parkinson's diseaseLevodopaPhysical medicine and rehabilitationKinematicsPsychologyReproducibilityScale (ratio)NeurologyMedicineDiseaseNeuroscienceArtificial intelligenceComputer sciencePathologyMathematicsQuantum mechanicsClassical mechanicsPhysicsStatisticsParkinson's Disease Mechanisms and TreatmentsMuscle activation and electromyography studiesNeurological disorders and treatments