Automated Evaluation of Conventional Clock-Drawing Test Using Deep Neural Network: Potential as a Mass Screening Tool to Detect Individuals With Cognitive Decline

Automated Evaluation of Conventional Clock-Drawing Test Using Deep Neural Network: Potential as a Mass Screening Tool to Detect Individuals With Cognitive Decline

IntroductionThe Clock-Drawing Test (CDT) is a simple cognitive tool to examine multiple domains of cognition including executive function. We aimed to build a CDT-based deep neural network (DNN) model using data from a large cohort of older adults, to automatically detect cognitive decline, and expl...

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Bibliographic Details
Main Authors: Kenichiro Sato, Yoshiki Niimi, Tatsuo Mano, Atsushi Iwata, Takeshi Iwatsubo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neurology
Subjects:
deep learning
screening
cognitive decline
dementia
clock drawing test (CDT)
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.896403/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.896403/full

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