THink: Inferring Cognitive Status from Subtle Behaviors
Name
nihms745068.pdf
Description
Accepted version
Size
233.37 KB
Format
Adobe PDF
Checksum (MD5)
a6b368982792e8503c3125002c6e1f49
Author(s)
Davis, Randall
Libon, David
Au, Roda
Pitman, David
Penney, Dana
Date Issued
2015
Journal
AI Magazine
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Version
Author's final manuscript
Abstract
The digital clock drawing test is a fielded application that provides a major advance over existing neuropsychological testing technology. It captures and analyzes high precision information about both outcome and process, opening up the possibility of detecting subtle cognitive impairment even when test results appear superficially normal. We describe the design and development of the test, document the role of AI in its capabilities, and report on its use over the past seven years. We outline its potential implications for earlier detection and treatment of neurological disorders. We set the work in the larger context of the THink project, which is exploring multiple approaches to determining cognitive status through the detection and analysis of subtle behaviors.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1609/AIMAG.V36I3.2602
