Improving stroke risk prediction for patients with atrial fibrillation using AI
Official title: Personalized Risk Stratification in Atrial Fibrillation using Portable, Explainable Artificial Intelligence
Funded at Denver Health and Hospital Authority · NIH-11199840 · Data updated 2026-11-12
This study is working on a new, easy-to-use tool that helps doctors better predict stroke risk for people with atrial fibrillation by looking at both common health factors and social influences, so they can provide more personalized care and improve prevention strategies for everyone.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Denver Health and Hospital Authority NIH-funded |
| Lab location | 1 site (Denver, United States) |
| Project start | September 5, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $454,228 |
| NIH project number | 7R56HL168264-02 |
| Project ID | NIH-11199840 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with atrial fibrillation who are at risk for stroke.
✕Less likely to help
Patients without atrial fibrillation or those who do not have risk factors for stroke may not benefit from this research.
What this research studies
This research aims to enhance the prediction of stroke risk in patients with atrial fibrillation (AF) by developing a portable and equitable risk stratification tool. It will utilize artificial intelligence to analyze both traditional risk factors and social determinants of health, ensuring that the tool is adaptable to various health systems. By discovering new relationships among risk factors and incorporating them into a user-friendly format, the project seeks to improve stroke prevention strategies for diverse patient populations. The ultimate goal is to provide personalized risk assessments that can lead to better healthcare outcomes for AF patients.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and personalized stroke prevention strategies for patients with atrial fibrillation.
How similar studies have gone: Other research has shown promise in using AI for risk stratification in various medical conditions, indicating potential success for this approach.
Where this research is happening
-
Denver Health and Hospital Authority
Denver, United States Active
Researchers
- Principal investigator: Steinberg, Benjamin Adam — Denver Health and Hospital Authority
- Study coordinator: Steinberg, Benjamin Adam
Related research
Other NIH-funded projects on the same topics.
-
Cardiomyocyte-fibroblast signaling in atrial fibrillation
A researcher at Baylor College of Medicine is studying how signals between heart muscle cells and supportive heart cells influence atrial fibrillation, with the goal of finding new ways to prevent or treat this common heart rhythm problem.
-
Anticoagulation in ICH Survivors with Atrial Fibrillation and Small Vessel Disease
This project looks at how to safely use blood-thinning medicines in people who survived a brain bleed and also have atrial fibrillation and small vessel disease.
-
Lowering heart inflammation to reduce atrial fibrillation risk in people with diabetes
Seeing whether blocking a pro-inflammatory enzyme or boosting the heart's natural inflammation-resolving signals can lower atrial fibrillation risk in people with diabetes.
-
Atrial fibrillation, clots, and stroke: the heart’s JNK2 as a target
This NIH grant explores how a heart protein called JNK2 may drive atrial fibrillation, blood clots, and stroke, and whether it could serve as a biomarker and new treatment approach.
-
A risk score to spot high-risk heart failure patients without atrial fibrillation who may need anticoagulation
A new tool uses patient data and heart MRI markers to identify heart failure patients without atrial fibrillation who might benefit from anticoagulation while minimizing bleeding risk.
-
DECIDE-AF: a shared decision tool in your health portal to help prevent strokes in atrial fibrillation
A patient-friendly tool in your electronic health record helps you and your doctor choose the right way to prevent strokes if you have atrial fibrillation.
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.