Using AI to predict heart function in patients with repaired tetralogy of Fallot
Precision Prediction of Right Ventricular Size, Function, and Outcomes in Patients with Repaired Tetralogy of Fallot
This study is looking to make it easier for people who have had surgery for tetralogy of Fallot to understand their heart health by using advanced technology to analyze heart tests, so they can avoid extra MRIs and get better care.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11055102 on NIH RePORTER |
What this research studies
This research focuses on improving the prediction of right ventricular size and function in patients who have undergone repair for tetralogy of Fallot, a congenital heart defect. By utilizing advanced artificial intelligence techniques, the study aims to analyze data from electrocardiograms and echocardiograms to provide more accurate risk assessments for heart failure and other complications. This approach seeks to reduce the need for frequent cardiac MRIs, which can be burdensome for patients. The ultimate goal is to enhance patient management and outcomes through better risk stratification.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals aged 12 years and older who have undergone surgical repair for tetralogy of Fallot.
Not a fit: Patients without a history of tetralogy of Fallot or those who are not within the specified age range may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate monitoring and management of heart health in patients with repaired tetralogy of Fallot, potentially reducing complications and improving quality of life.
How similar studies have performed: Previous research has shown promise in using AI for cardiovascular imaging and risk prediction, indicating that this approach could be effective.
Where this research is happening
New York, United States
- Icahn School of Medicine at Mount Sinai — New York, United States (Active)
Researchers
- Principal investigator: Duong, Son Quang — Icahn School of Medicine at Mount Sinai
- Study coordinator: Duong, Son Quang
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 below.