Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease
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...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | npj Parkinson's Disease |
| Online Access: | https://doi.org/10.1038/s41531-025-00999-w |
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| _version_ | 1850243396851990528 |
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| author | Florian Lange Diego L. Guarin Esther Ademola Dalia Mahdy Gabriela Acevedo Thorsten Odorfer Joshua K. Wong Jens Volkmann Robert Peach Martin Reich |
| author_facet | Florian Lange Diego L. Guarin Esther Ademola Dalia Mahdy Gabriela Acevedo Thorsten Odorfer Joshua K. Wong Jens Volkmann Robert Peach Martin Reich |
| author_sort | Florian Lange |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2b0d6d8b22aa4948905464fa1e79c7c7 |
| institution | OA Journals |
| issn | 2373-8057 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Parkinson's Disease |
| spelling | doaj-art-2b0d6d8b22aa4948905464fa1e79c7c72025-08-20T02:00:00ZengNature Portfolionpj Parkinson's Disease2373-80572025-05-011111710.1038/s41531-025-00999-wComputer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s diseaseFlorian Lange0Diego L. Guarin1Esther Ademola2Dalia Mahdy3Gabriela Acevedo4Thorsten Odorfer5Joshua K. Wong6Jens Volkmann7Robert Peach8Martin Reich9Department of Neurology, University of WürzburgMovement Estimation and Analysis Laboratory, Department of Applied Physiology and Kinesiology, University of FloridaDepartment of Neurology, University of WürzburgDepartment of Neurology, University of WürzburgMovement Estimation and Analysis Laboratory, Department of Applied Physiology and Kinesiology, University of FloridaDepartment of Neurology, University of WürzburgFixel Institute for Neurological Disease, College of Medicine, University of FloridaDepartment of Neurology, University of WürzburgDepartment of Neurology, University of WürzburgDepartment of Neurology, University of WürzburgAbstract 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.https://doi.org/10.1038/s41531-025-00999-w |
| spellingShingle | Florian Lange Diego L. Guarin Esther Ademola Dalia Mahdy Gabriela Acevedo Thorsten Odorfer Joshua K. Wong Jens Volkmann Robert Peach Martin Reich Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease npj Parkinson's Disease |
| title | Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease |
| title_full | Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease |
| title_fullStr | Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease |
| title_full_unstemmed | Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease |
| title_short | Computer vision uncovers three fundamental dimensions of levodopa-responsive motor improvement in Parkinson’s disease |
| title_sort | computer vision uncovers three fundamental dimensions of levodopa responsive motor improvement in parkinson s disease |
| url | https://doi.org/10.1038/s41531-025-00999-w |
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