Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.
J Parkinsons Dis
; 11(s1): S83-S93, 2021.
Article
in English
| MEDLINE | ID: covidwho-1122450
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Parkinson Disease
/
Video Recording
/
Artificial Intelligence
/
Telemedicine
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
J Parkinsons Dis
Year:
2021
Document Type:
Article
Affiliation country:
JPD-202402
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