AI-guided prediction of aortic valve disease progression using CT scans
Official title: AI-enabled characterization of fibrocalcific aortic valve disease and inflammation from CT Angiography: Patient-specific outcome prediction
Funded at Cedars-Sinai Medical Center · NIH-11379955 · Data updated 2026-11-12
A patient-friendly AI tool analyzes CT angiography data to predict how quickly aortic valve disease may advance and the risk of complications after valve replacement.
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 | September 1, 2024 |
| Project end | May 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $782,711 |
| NIH project number | 5R01HL175875-03 |
| Project ID | NIH-11379955 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with aortic stenosis being evaluated for possible valve intervention at participating centers.
✕Less likely to help
Patients with mild disease unlikely to progress or those not undergoing CT imaging may derive little benefit.
What this research studies
This project uses artificial intelligence to automatically measure tissue features around the aortic valve on CT scans and to look for signs of inflammation. By combining imaging findings with clinical data, it aims to create a risk score that could forecast rapid disease progression and future outcomes after valve replacement. If successful, it may help doctors tailor monitoring and treatment timing to each patient. The study is grounded in real-world clinical data from patients with aortic stenosis treated at Cedars-Sinai.
Why it matters
Potential benefit: If the model proves accurate, it could improve timing of interventions and reduce risk by guiding personalized care.
How similar studies have gone: Previous work shows AI on CT data can reveal meaningful heart valve and tissue patterns, but this project focuses on predicting rapid progression and post-procedure outcomes.
Where this research is happening
-
Cedars-Sinai Medical Center
Los Angeles, United States Active
Researchers
- Principal investigator: Dey, Damini — Cedars-Sinai Medical Center
- Study coordinator: Dey, Damini
Related research
Other NIH-funded projects on the same topics.
-
GATA4's role in why some hearts are born with two valve cusps
A study in mice and human genetics will look at how a specific GATA4 gene change leads to bicuspid aortic valve and related heart problems.
-
Small molecule therapy for calcific aortic valve disease
A new drug candidate is being studied to slow or stop calcification of the aortic valve in adults with valve disease.
-
Understanding and treating congenital aortic valve problems
This project develops medicines targeting the genetic and molecular causes of malformed aortic valves to help people born with bicuspid or other congenital valve problems avoid or delay surgery.
-
Understanding why some people with calcific aortic valve disease develop atherogenic vs non-atherogenic patterns
This NIH-funded project explores why some people with aortic valve disease have accompanying atherosclerosis while others do not, using human genetics, proteomics, and imaging data to uncover differences that could lead to better treatments.
-
Lab-grown models of how aging and sex affect aortic valve narrowing
Researchers will build lab-grown heart valve models that mimic aging and male/female differences to learn why older adults develop aortic valve narrowing.
-
Cadherin-11's role in aortic valve calcification
This project looks at whether blocking a protein called cadherin-11 can stop or even reverse calcium buildup in the aortic valve of older adults with aortic stenosis.
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.