Toward AI-Driven Precision Measurement of Cognition, Behavior, and Psychological Function in Aging and Alzheimer’s Disease and Alzheimer’s Disease-Related Dementias
Bibliographic Data
| ID | 6457660 |
|---|---|
| Authors | Luke E Stoeckel (0000-0002-7837-7487, National Institute on Aging), Dinesh John (0009-0002-7095-1023, National Institute on Aging), Matthew J Sutterer (0000-0001-5223-857X, National Institute on Aging), Matthew Sutterer (National Institute on Aging) |
| Year | 2025 |
| Volume | 80 |
| Issue | 7 |
| Publication date | 2025-02-28 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Journals of Gerontology Series B (JOURNAL) |
| Journal identifiers | ISSN: 1079-5014 • E-ISSN: 1758-5368 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/geronb/gbaf045 |
| PMID | 40036675 |
| OpenAlex | W4408141903 |
| Language | EN |
| Citations received | 1 |
The National Institute on Aging (NIA) is at the forefront of leveraging advances in artificial intelligence (AI) to better understanding of aging and the diagnosis and treatment of Alzheimer’s Disease (AD) and Alzheimer’s disease-related dementias (ADRD). Recent NIA-supported projects have highlighted the transformative potential of AI, digital health, and computational approaches in improving the modeling, detection, and monitoring of changes in healthy aging and AD/ADRD. This perspective is forward looking, emphasizing key areas and efforts in AI-driven precision measurement in cognition, behavior, and psychological function
Cognition · Cognitive aging · Cognitive psychology · Function (biology · Computer Science · EEG and Brain-Computer Interfaces · Neuroscience · Psychology
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |