Digital detection of MCI: single‐handed smartphone screening at‐scale
This study provides proof-of-concept findings for MCI classification using remote, interactive, unsupervised cognitive assessments via smartphones and personal computing devices. Our results support the validity of brief cognitive screeners for remote MCI detection and highlight their potential for tracking at-risk cognitive trajectories in demographically diverse aging populations.
Authors
- Hanson Lenyoun
- Hung A. Pham
- Mithun Patel
- A. Gabelle
- Natalia Silveira
- Marty Sliwinski
- Philippe Syz
- Jenny Yang
- P. Monroe Butler
- Matt Hobbs
- Matt Bianchi
Institutions
- Brigham and Women's Hospital (US)
- Pennsylvania State University (US)
- Université de Montpellier (FR)
- Centre Hospitalier Universitaire de Montpellier (FR)
- Apple (United States) (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_106559
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00