In a recent study published in npj Digital Medicine, researchers evaluated a novel AI tool aimed at assessing the motor performance of potential Parkinson’s disease (PD) patients. Results showed that the machine learning (ML) model outperformed Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) certified raters and closely matched neurological experts in diagnostic performance measurements of standardized finger-tapping tests. This highlights the potential for using a webcam, phone, or digital camera to remotely diagnose PD and other neurological conditions in areas traditionally deprived of neurological care.
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