Using artificial intelligence to predict outcomes in patients with cardiovascular disease based on imaging data.

Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial Intelligence

NIH-funded research Cedars-Sinai Medical Center · NIH-11095721

This study is looking to help doctors better predict serious health issues in people with coronary artery disease by using advanced imaging and AI, especially for those who also have conditions like obesity or diabetes, so they can provide more personalized care.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionCedars-Sinai Medical Center NIH-funded
Lab location1 site (Los Angeles, United States)
Project IDNIH-11095721 on NIH RePORTER

What this research studies

This research focuses on improving the prediction of adverse events in patients with coronary artery disease (CAD) by utilizing advanced imaging techniques and artificial intelligence (AI). It aims to integrate various imaging modalities, such as PET and CT scans, to assess myocardial blood flow and the presence of atherosclerosis. By automating the analysis of complex data, the project seeks to identify high-risk patients more effectively, particularly those with conditions like obesity, diabetes, and chronic kidney disease. The goal is to enhance clinical decision-making and patient management through better risk stratification.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals diagnosed with coronary artery disease, particularly those with obesity, diabetes, or chronic kidney disease.

Not a fit: Patients without coronary artery disease or those who do not have the aforementioned risk factors may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate predictions of cardiovascular events, allowing for timely and personalized treatment strategies.

How similar studies have performed: Other research has shown promising results using AI for imaging analysis in cardiovascular disease, indicating potential for success in this approach.

Where this research is happening

Los Angeles, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.