RPI Team Builds AI Model for More Effective Early Parkinson's Screening
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Summary
Scientists at Rensselaer Polytechnic Institute (RPI) have developed an artificial intelligence model to streamline and improve screening for Parkinson's disease (PD) so doctors can refer patients for early-stage testing. In a paper published in Nature Aging, a team led by Pingkun Yan, Ph.D., Head of the Department of Biomedical Engineering at RPI described how their Quest2Dx AI system was able to analyze lengthy health questionnaires more accurately than other models for early signs of Parkinson's.
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