An artificial intelligence tool developed by researchers at the University of Rochester can help people with Parkinson's disease remotely assess the severity of their symptoms within minutes. A study in npj Digital Medicine describes the new tool, which has users tap their fingers 10 times in front of a webcam to assess motor performance on a scale of 0–4.
All the extracted key-points are displayed as red dots. The three key-points WRIST, THUMB_TIP, and INDEX_FINGER_TIP were used to compute the finger-tapping angle X. Credit: University of Rochester / Saiful et. al.
Doctors often have patients perform simple motor tasks to assess movement disorders and rate the severity using guidelines such as the Movement Disorder Society Unified Parkinson's Disease Rating Scale . The AI model provides a rapid assessment using the MDS-UPDRS guidelines, automatically generating computational metrics such as speed, amplitude, frequency, and period that are interpretable, standardized, repeatable, and consistent with medical guidebooks.
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