Clock Drawing as a Tool to Reduce Cognitive Assessment Time
Within the CDT scoring system, clock hands and numbers were the strongest predictors of performance on the TorCA sub-tests. The most robust associations were with domains of working memory/attention/executive function, semantic knowledge, and visuospatial function. We plan to apply artificial intelligence to classify clocks based on these cognitive functions. We will then examine how these classified clocks relate to TorCA sub-tests to determine whether redundant tests could be removed, thereby shortening administration time.
Authors
- M. Freedman
- Malcolm A. Binns (ORCID: https://orcid.org/0000-0001-9998-6612)
- Sanjeev Kumar (ORCID: https://orcid.org/0000-0002-3467-8958)
- Carmela M. Tartaglia
- Sandra E. Black
- Carolyn Pavoni
- Nodee Chowdhury
- David F. Tang‐Wai
Institutions
- Mount Sinai Hospital (CA)
- University Health Network (CA)
- Centre for Addiction and Mental Health (CA)
- University of Toronto (CA)
- Toronto Western Hospital (CA)
- Baycrest Hospital (CA)
- Toronto Dementia Research Alliance (CA)
- Occupational Cancer Research Centre (CA)
- Public Health Ontario (CA)
- Sunnybrook Hospital (CA)
- Sunnybrook Research Institute
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108482
- Primary Topic
- Spatial Neglect and Hemispheric Dysfunction
- Type
- article
- Field-Weighted Citation Impact
- 0.00