Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets.

Yasunori Yamada Kaoru Shinkawa Masatomo Kobayashi Varsha D Badal Danielle Glorioso Ellen E Lee Rebecca Daly Camille Nebeker Elizabeth W Twamley Colin Andrew Depp Miyuki Nemoto Kiyotaka Nemoto Ho-Cheol Kim Tetsuaki Arai Dilip V Jeste

Published in: JMIR formative research (2022)

This study presents initial empirical evidence of the capability of automated analysis of the drawing process as an estimator of global cognition that is applicable across populations. Our results suggest that such automated analysis may enable the development of a practical tool for international use in self-administered, automated cognitive assessment.

Keyphrases

deep learning
machine learning
high throughput
mild cognitive impairment
electronic health record
multiple sclerosis
single cell