Predicting Early Dementia Risk from Health Records Using AI
Official title: Antecedents and Outcomes of Subjective Cognitive Decline: An Electronic Health Records and Artificial Intelligence Approach
Funded at Brigham and Women's Hospital · NIH-11399877 · Data updated 2026-11-12
A plan to use big health records and smart computer methods to spot people who may be in the early stages of memory decline before dementia
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 15, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $248,996 |
| NIH project number | 5R00AG075190-05 |
| Project ID | NIH-11399877 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults 21 years and older with subjective cognitive concerns but no dementia.
✕Less likely to help
People without cognitive concerns or those already diagnosed with dementia may derive limited direct benefit.
What this research studies
This project will analyze large electronic health record data to find people with subjective cognitive concerns who have not yet developed dementia. It will use advanced informatics and machine learning to create methods that identify a pre-dementia group and understand their risk factors and likely outcomes. The effort includes developing a practical way to flag these patients so they can be connected to appropriate interventions or trials. The work builds on prior findings that clinical notes and AI can help detect early cognitive changes. It aims to move from small studies to large, representative samples that reflect real-world patients.
Why it matters
Potential benefit: If successful, it could speed up enrollment for dementia trials and enable earlier interventions for people at risk.
How similar studies have gone: Previous studies show AI can help detect early cognitive decline, but larger, real-world data approaches are still being developed.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Wang, Liqin — Brigham and Women's Hospital
- Study coordinator: Wang, Liqin
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.