AI Tool VisionMD Revolutionizes Assessment of Parkinson's Disease and Movement Disorders

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University of Florida researcher develops an open-source AI program called VisionMD to analyze videos of patients with movement disorders, providing objective and accurate assessments to improve patient care and clinical research.

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Innovative AI Tool Enhances Movement Disorder Assessment

A groundbreaking artificial intelligence tool called VisionMD has been developed by Diego Guarin, Ph.D., an assistant professor at the University of Florida, to revolutionize the assessment of Parkinson's disease and other movement disorders. This open-source computer program utilizes AI to analyze videos of patients, providing doctors with more accurate and objective measurements of subtle motor changes

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Addressing Clinical Assessment Challenges

Traditional clinical assessments of movement disorders often face challenges of inconsistency and subjectivity. VisionMD aims to overcome these issues by offering precise, unbiased data. As Dr. Florian Lange, a neurologist at University Hospital Würzburg, explains, "If the three of us watched the same video of a patient, we might rate the severity at three different levels. But the software gives us precise, unbiased data"

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How VisionMD Works

VisionMD analyzes standard videos recorded on various devices, including smartphones, laptops, or even over Zoom. The software automatically extracts precise motion metrics from these videos, providing valuable information about disease progression and response to treatments such as medications or deep brain stimulation

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Ensuring Data Privacy and Accessibility

One of the key features of VisionMD is its focus on data privacy. The software runs entirely on local computers, eliminating the risk of data leaving the network. Guarin emphasizes, "It's not cloud-based, so there is no risk of data leaving the network. You can even unplug from the internet, and it still runs"

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Global Adoption and Customization

VisionMD is already being used globally, with researchers in Germany, Spain, and Italy analyzing thousands of patient videos. As open-source software, it can be freely customized and improved. This accessibility has led to adaptations like optimizing deep brain stimulation (DBS) treatment for tremor patients

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Impact on Movement Disorder Research and Care

The tool's ease of use and quick processing time - only a few seconds per video - make it accessible to most clinicians, regardless of their technical expertise. This accessibility, combined with its objective measurements, has the potential to transform movement disorder research and patient care

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Future Developments

The team behind VisionMD is working to expand the tool's capabilities by incorporating more motor assessment tasks commonly used in clinical settings. This ongoing development aims to further enhance the software's utility in movement disorder assessment and treatment optimization

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