AI-assisted imaging to characterize high-risk cerebrovascular plaque
Official title: Development of AI assisted intra-cranial and extra-cranial vessel wall imaging and analysis techniques for characterization of high-risk cerebrovascular atherosclerosis
Funded at VA Salt Lake City Healthcare System · NIH-11191045 · Data updated 2026-11-12
AIM to use artificial intelligence to better image and analyze vessel walls in the brain and neck to find plaques that could trigger stroke, helping veterans and others at risk.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | VA Salt Lake City Healthcare System NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project start | April 1, 2026 |
| Project end | March 31, 2030 |
| Funding year | 2026 |
| NIH project number | 1I01CX003005-01 |
| Project ID | NIH-11191045 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with risk factors for cerebrovascular disease, including veterans, who may undergo carotid and intracranial vessel wall imaging as part of clinical evaluation.
✕Less likely to help
Individuals without risk factors or those not undergoing vessel wall imaging would not directly benefit from the imaging protocol enhancements.
What this research studies
This grant aims to develop and standardize AI-powered imaging techniques for intracranial and extracranial vessel walls to identify unstable atherosclerotic plaques that could cause stroke. The project focuses on creating efficient imaging protocols and a uniform scoring system to improve interpretation by clinicians. By enhancing detection of high-risk plaques, it seeks to guide prevention and treatment decisions for patients at risk of ischemic stroke, particularly veterans with elevated cardiovascular risk factors.
Why it matters
Potential benefit: If successful, patients at risk for stroke could receive earlier, more accurate risk assessment and personalized preventive care guided by improved imaging analysis.
How similar studies have gone: Previous work shows promise in AI-assisted vessel wall imaging, but standardized protocols and scoring remain an area of active development.
Where this research is happening
-
VA Salt Lake City Healthcare System
Salt Lake City, United States Active
Researchers
- Principal investigator: Treiman, Gerald S — VA Salt Lake City Healthcare System
- Study coordinator: Treiman, Gerald S
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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.