Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.
J Parkinsons Dis
; 11(s1): S83-S93, 2021.
Article
en En
| MEDLINE
| ID: mdl-33682727
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Enfermedad de Parkinson
/
Grabación en Video
/
Inteligencia Artificial
/
Telemedicina
Tipo de estudio:
Guideline
Límite:
Humans
Idioma:
En
Revista:
J Parkinsons Dis
Año:
2021
Tipo del documento:
Article
País de afiliación:
Reino Unido