A Vision Transformer Approach for Fully Automated and Scalable Dementia Screening using Clock Drawing Test Images
This pen-and-paper compatible, transformer-based diagnostic system enables scalable remote cognitive screening through automated CDT image analysis that is competitive with human-scored features, potentially increasing diagnostic accessibility and comfort for elderly populations across diverse socioeconomic contexts.
Authors
- M. FREEDMAN
- Michael B. Bone (ORCID: https://orcid.org/0000-0002-4644-6230)
- Bradley R. Buchsbaum (ORCID: https://orcid.org/0000-0002-1108-4866)
- Daniel Felsky (ORCID: https://orcid.org/0000-0003-1831-9848)
- Bradley Pugh
- Sanjeev Kumar (ORCID: https://orcid.org/0000-0002-3467-8958)
- Stephen Strother
- David F. Tang‐Wai
- Sandra E. Black
- Carmela Tartaglia
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)
- Sunnybrook Hospital (CA)
- Sunnybrook Research Institute
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70858_097670
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00