Using artificial intelligence to find hidden brain diseases that could lead to strokes and dementia
Covert Cerebrovascular Disease Detected by Artificial Intelligence (C2D2AI): A Platform for Pragmatic Evidence Generation for Stroke and Dementia Prevention
['FUNDING_OTHER'] · TUFTS MEDICAL CENTER · NIH-10591063
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
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | TUFTS MEDICAL CENTER (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-10591063 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: Patients who have already experienced a stroke or have a known history of cerebrovascular disease may not benefit from this research.
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 performed: 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
BOSTON, UNITED STATES
- TUFTS MEDICAL CENTER — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KENT, DAVID M — TUFTS MEDICAL CENTER
- Study coordinator: KENT, DAVID M
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 below.