institutejilo.blogg.se - 3d clock drawing

A convolutional neural network was utilized in deep learning architecture to predict the cognitive status of participants based on drawn clock images. Methods: Over 40,000 CDT images were obtained from the National Health and Aging Trends Study (NHATS) database, which collects the annual surveys of nationally representative community-dwelling older adults in the United States. 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 explore its potential as a mass screening tool.

Introduction: The Clock-Drawing Test (CDT) is a simple cognitive tool to examine multiple domains of cognition including executive function.

4Department of Neurology, Tokyo Metropolitan Geriatric Center Hospital, Tokyo, Japan.

3Department of Neurology, Graduate School of Medicine, The University of Tokyo, Bunkyo, Japan.

2Unit for Early and Exploratory Clinical Development, The University of Tokyo Hospital, Tokyo, Japan.

1Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Bunkyo, Japan.Kenichiro Sato 1,2 *, Yoshiki Niimi 2, Tatsuo Mano 3, Atsushi Iwata 4 and Takeshi Iwatsubo 1,2 *