Improving Heart Scans with Artificial Intelligence
Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT
This project aims to use artificial intelligence to make heart PET/CT scans more accurate and easier to interpret for patients with coronary artery disease.
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 ID | NIH-11162264 on NIH RePORTER |
What this research studies
Coronary artery disease is a major health concern, and current imaging methods like SPECT can sometimes miss important details, especially in complex cases. PET/CT scans offer a more precise way to measure blood flow in the heart, but they require specialized expertise to get the most out of them. Our goal is to develop new AI tools that can automatically analyze these advanced heart scans. This will help doctors better detect blockages, diffuse disease, and microvascular issues, leading to more accurate diagnoses and personalized care for you.
Who could benefit from this research
Good fit: Patients who have or are suspected of having coronary artery disease, especially those with complex or diffuse forms, are the focus of this research.
Not a fit: Patients without coronary artery disease or those not undergoing cardiac PET/CT imaging would not directly benefit from this specific advancement.
Why it matters
Potential benefit: If successful, this work could lead to more accurate and efficient diagnosis of coronary artery disease, potentially improving treatment decisions and patient outcomes.
How similar studies have performed: Previous work has shown that AI can improve diagnostic accuracy and risk assessment in other cardiac imaging methods like SPECT and CT, suggesting a strong foundation for this approach.
Where this research is happening
Los Angeles, United States
- Cedars-Sinai Medical Center — Los Angeles, United States (Active)
Researchers
- Principal investigator: Slomka, Piotr J — Cedars-Sinai Medical Center
- Study coordinator: Slomka, Piotr J
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.