Using artificial intelligence to analyze heart imaging for understanding cardiovascular stress in older adults
Official title: Artificial Intelligence Imaging Biomarkers of Longitudinal Cardiovascular Stress
Funded at Cedars-Sinai Medical Center · NIH-11048345 · Data updated 2026-11-12
This study is exploring how smart computer technology can help doctors look at heart images more closely to spot early signs of heart problems in older adults, which could lead to better care and treatment just for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cedars-Sinai Medical Center NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | December 12, 2024 |
| Project end | January 31, 2025 |
| Funding year | 2025 |
| Award (this year) | $1 |
| NIH project number | 1R01HL173487-01A1 |
| Project ID | NIH-11048345 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 receive direct benefits from this research.
What this research studies
This research investigates how artificial intelligence can enhance the analysis of heart imaging to better understand cardiovascular stress, particularly in older adults. By utilizing advanced deep learning algorithms, the study aims to identify subtle changes in cardiac structure and function that may indicate increased cardiovascular risk. The approach focuses on tracking these changes over time, providing insights into the relationship between biological and chronological age. Patients may benefit from improved risk assessment and personalized treatment strategies based on their unique cardiovascular profiles.
Why it matters
Potential benefit: If successful, this research could lead to more accurate assessments of cardiovascular risk in older adults, enabling earlier interventions and better management of heart health.
How similar studies have gone: Previous studies have shown success in applying artificial intelligence to medical imaging, indicating a promising avenue for advancing cardiovascular risk assessment.
Where this research is happening
-
Cedars-Sinai Medical Center
Los Angeles, United States Active
Researchers
- Principal investigator: Ouyang, David — Cedars-Sinai Medical Center
- 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.