Using AI to evaluate heart disease risk from chest images
Official title: Deep learning to assess cardiovascular disease risk from chest imaging
Funded at Massachusetts General Hospital · NIH-10999458 · Data updated 2026-11-12
This study is working on using smart computer technology to look at chest images and other health information to better understand your risk of heart disease, so that patients like you can get earlier help and better ways to prevent heart problems.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | January 1, 2024 |
| Project end | December 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $175,147 |
| NIH project number | 5K01HL168231-02 |
| Project ID | NIH-10999458 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for cardiovascular disease, particularly older adults with relevant health factors.
✕Less likely to help
Patients with no cardiovascular risk factors or those who have already been diagnosed with advanced cardiovascular disease may not benefit from this research.
What this research studies
This research focuses on developing advanced artificial intelligence techniques to analyze chest imaging data for assessing cardiovascular disease risk. By utilizing large datasets that include medical imaging, genetic information, and various health risk factors, the project aims to create more accurate risk scores for heart disease. Patients will benefit from improved early detection and prevention strategies based on these AI-driven insights. The research will also involve collaboration with healthcare professionals to understand decision-making processes regarding preventive care.
Why it matters
Potential benefit: If successful, this research could lead to more accurate assessments of cardiovascular disease risk, enabling earlier interventions and better patient outcomes.
How similar studies have gone: Previous research has shown promise in using AI for medical imaging analysis, indicating that this approach could yield significant advancements in cardiovascular risk assessment.
Where this research is happening
-
Massachusetts General Hospital
Boston, United States Active
Researchers
- Principal investigator: Raghu, Vineet — Massachusetts General Hospital
- Study coordinator: Raghu, Vineet
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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.