Sibley, KG;
Girges, C;
Hoque, E;
Foltynie, T;
(2021)
Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.
Journal of Parkinson's Disease
10.3233/JPD-202402.
(In press).
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Abstract
Remote and objective assessment of the motor symptoms of Parkinson's disease is an area of great interest particularly since the COVID-19 crisis emerged. In this paper, we focus on a) the challenges of assessing motor severity via videos and b) the use of emerging video-based Artificial Intelligence (AI)/Machine Learning techniques to quantitate human movement and its potential utility in assessing motor severity in patients with Parkinson's disease. While we conclude that video-based assessment may be an accessible and useful way of monitoring motor severity of Parkinson's disease, the potential of video-based AI to diagnose and quantify disease severity in the clinical context is dependent on research with large, diverse samples, and further validation using carefully considered performance standards.
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