Using artificial intelligence to improve heart imaging analysis
Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT
This study is testing new AI technology to help doctors get clearer and more accurate heart images, which could lead to better diagnoses for people with coronary artery disease and improve their overall heart health.
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-10899716 on NIH RePORTER |
What this research studies
This research focuses on enhancing the analysis of cardiac PET/CT imaging through advanced artificial intelligence techniques. By automating the evaluation process, the study aims to improve the accuracy of diagnosing coronary artery disease (CAD) and related conditions. The approach involves developing AI algorithms that can analyze heart images more effectively than traditional methods, potentially leading to better patient outcomes. Patients undergoing cardiac imaging may benefit from more precise assessments of their heart health.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals at risk for coronary artery disease, particularly those with obesity, diabetes, or other cardiometabolic conditions.
Not a fit: Patients with non-cardiac related health issues or those who do not require cardiac imaging may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and improved treatment strategies for patients with coronary artery disease.
How similar studies have performed: Previous research has shown success in using AI to enhance imaging analysis in other modalities, suggesting a promising potential for this approach in cardiac PET/CT.
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.