Using advanced technology to better predict heart disease risk

Opportunistic Screening for ASCVD using a Multimodal Deep Learning Risk Prediction Model

NIH-funded research Mayo Clinic Arizona · NIH-10999423

This study is working on a new tool to better predict the risk of heart attacks and strokes for people with atherosclerotic cardiovascular disease, using a mix of CT scan images and health information, so that patients can get more personalized advice on how to stay healthy.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionMayo Clinic Arizona NIH-funded
Lab location1 site (Scottsdale, United States)
Project IDNIH-10999423 on NIH RePORTER

What this research studies

This research aims to improve the prediction of atherosclerotic cardiovascular disease (ASCVD), which includes serious conditions like heart attacks and strokes. By developing a new model called ADMIRE, the team will combine various types of data, including imaging from CT scans and traditional clinical information, to create a more accurate risk assessment tool. This approach addresses the limitations of current methods, which often fail to account for diverse populations and important biomarkers. Patients may benefit from more personalized prevention strategies based on their unique risk profiles.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals over 21 years old who are at risk for atherosclerotic cardiovascular disease.

Not a fit: Patients who are under 21 years old or those without risk factors for heart disease may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate risk assessments for heart disease, allowing for better prevention and treatment strategies.

How similar studies have performed: Previous research has shown promise in using multimodal approaches for risk prediction, suggesting that this innovative method could be effective.

Where this research is happening

Scottsdale, 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 2026-06-15 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.