Using artificial intelligence to track heart health changes with age
Official title: Artificial Intelligence Imaging Biomarkers of Longitudinal Cardiovascular Stress
Funded at Kaiser Foundation Research Institute · NIH-11302361 · Data updated 2026-11-12
This study is looking at how smart computer programs can help doctors spot changes in heart health as we get older by analyzing heart images, which could lead to earlier detection of heart issues and better, personalized care for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kaiser Foundation Research Institute NIH-funded |
| Lab location | 1 site (Oakland, UNITED STATES) |
| Project start | May 1, 2025 |
| Project end | November 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $735,514 |
| NIH project number | 7R01HL173487-02 |
| Project ID | NIH-11302361 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults aged 65 and older who are at risk for cardiovascular disease.
✕Less likely to help
Patients under the age of 65 or those without cardiovascular risk factors may not benefit from this research.
What this research studies
This research investigates how artificial intelligence can analyze medical images to identify changes in heart structure and function as people age. By applying advanced deep learning algorithms to echocardiograms and other imaging techniques, the study aims to uncover subtle cardiovascular risk factors that may not be visible to the human eye. The goal is to better understand the relationship between chronological age and biological heart health, potentially leading to earlier detection of cardiovascular disease. Patients may benefit from improved monitoring and personalized treatment strategies based on their unique cardiovascular profiles.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and better management of cardiovascular disease in older adults.
How similar studies have gone: Previous research has shown that applying artificial intelligence to medical imaging can successfully identify cardiovascular risk factors, indicating a promising approach.
Where this research is happening
-
Kaiser Foundation Research Institute
Oakland, United States Active
Researchers
- Principal investigator: Ouyang, David — Kaiser Foundation Research Institute
- Study coordinator: Ouyang, David
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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.