Understanding early signs of cognitive decline using health records and 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-11121163 · Data updated 2026-11-12
This study is looking at how electronic health records can help spot early signs of memory problems that might lead to Alzheimer's and similar conditions, so we can find people who need support before they get a formal diagnosis.
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 | 2024 |
| Award (this year) | $249,000 |
| NIH project number | 4R00AG075190-03 |
| Project ID | NIH-11121163 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include older adults who exhibit signs of cognitive decline but have not yet been diagnosed with dementia.
✕Less likely to help
Patients who are already diagnosed with dementia or have significant cognitive impairment may not benefit from this research.
What this research studies
This research investigates how electronic health records (EHRs) can be used to detect early signs of cognitive decline, specifically subjective cognitive decline (SCD), which may indicate the onset of Alzheimer's disease and related dementias (ADRD). By utilizing advanced artificial intelligence and machine learning techniques, the study aims to identify patients who show early cognitive concerns but have not yet been diagnosed with dementia. The research will analyze large datasets to uncover risk factors and characteristics associated with SCD, ultimately aiming to improve early intervention strategies and participant enrollment in clinical trials.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and intervention for individuals at risk of developing Alzheimer's disease and related dementias.
How similar studies have gone: Previous research has shown promise in using electronic health records and machine learning for early detection of cognitive decline, indicating that this approach has potential for success.
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.