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1
The MaC-VC protocol enables remote administration of MDS-UPDRS III and MoCA tests by non-experts, addressing accessibility challenges in Parkinson's disease assessments.
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2
A cross-sectional study with 145 participants demonstrated that the online MDS-UPDRS III explained 95% of the variance in expert-rated in-person assessments.
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3
Significant trends were observed in early versus advanced Parkinson's disease across both datasets for MDS-UPDRS-III, MoCA, disease duration, and sex.
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4
Machine learning classifiers achieved high classification performance (AUCs>0.9), validating the predictive power of the MaC-VC protocol across diverse populations.
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5
The findings support the feasibility and generalizability of remote assessments, enhancing accessibility and scalability for Parkinson's disease evaluations.
