Using artificial intelligence to find hidden brain diseases that could lead to strokes and dementia
Official title: Covert Cerebrovascular Disease Detected by Artificial Intelligence (C2D2AI): A Platform for Pragmatic Evidence Generation for Stroke and Dementia Prevention
Funded at Tufts Medical Center · NIH-10591063 · Data updated 2026-11-12
This study is looking to find hidden brain problems that could lead to stroke or dementia by using smart computer techniques to analyze brain scans and reports, helping doctors catch these issues early and improve treatment for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Tufts Medical Center NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | February 1, 2023 |
| Project end | January 31, 2026 |
| Funding year | 2023 |
| Award (this year) | $2,894,758 |
| NIH project number | 2RF1NS102233-05 |
| Project ID | NIH-10591063 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals over the age of 50 who have undergone neuroimaging scans and have no prior history of stroke or transient ischemic attack.
✕Less likely to help
Patients who have already experienced a stroke or have a known history of cerebrovascular disease may not benefit from this research.
What this research studies
This research focuses on detecting covert cerebrovascular disease (CCD) using advanced artificial intelligence techniques applied to neuroimaging scans. Many patients may have hidden brain issues that could increase their risk of stroke or dementia, even if they have never experienced these conditions before. The study aims to identify these hidden diseases through a natural language processing algorithm that analyzes imaging reports, allowing for better awareness and potential preventive treatments. By understanding the prevalence of these conditions, the research seeks to improve patient outcomes through targeted therapies.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and prevention of strokes and dementia in patients with covert cerebrovascular disease.
How similar studies have gone: Previous research has shown promise in using artificial intelligence for medical imaging analysis, indicating potential success for this novel approach.
Where this research is happening
-
Tufts Medical Center
Boston, United States Active
Researchers
- Principal investigator: Kent, David M — Tufts Medical Center
- Study coordinator: Kent, David M
Related research
Other NIH-funded projects on the same topics.
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Finding hidden small strokes and white matter damage on routine brain scans with AI
Using artificial intelligence to spot unnoticed brain blood-vessel damage on routine CT or MRI scans to help people at risk for stroke and dementia.
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Detecting hidden brain diseases using artificial intelligence
This study is looking to find hidden brain problems that can lead to strokes and memory issues by using advanced imaging and smart computer technology, so we can help people catch these risks early and stay healthier longer.
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AI detects hidden brain blood-vessel damage linked to stroke and dementia
This project uses AI to find hidden small strokes and white-matter changes on routine brain scans in older adults to help prevent future stroke and dementia.
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BBB Dysfunction after Stroke and Risk for Dementia
A study at Stanford will look at whether inflammation after a stroke leads to leaky blood vessels and later dementia, by following stroke survivors and comparing them with people without stroke.
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DNMT3a and oligodendrocyte renewal after stroke
A patient-focused study will explore how a specific gene, DNMT3a, might help repair brain white matter after a stroke to reduce dementia risk.
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BBB Dysfunction after Stroke and Dementia Risk
This NIH grant aims to understand why some people develop dementia years after a stroke by looking at brain inflammation and blood vessel leakage.
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.