Improving stroke risk prediction for patients with atrial fibrillation using AI

Personalized Risk Stratification in Atrial Fibrillation using Portable, Explainable Artificial Intelligence

['FUNDING_OTHER'] · DENVER HEALTH AND HOSPITAL AUTHORITY · NIH-11199840

This study is working on a new, easy-to-use tool that helps doctors better predict stroke risk for people with atrial fibrillation by looking at both common health factors and social influences, so they can provide more personalized care and improve prevention strategies for everyone.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorDENVER HEALTH AND HOSPITAL AUTHORITY (nih funded)
Locations1 site (DENVER, UNITED STATES)
Trial IDNIH-11199840 on ClinicalTrials.gov

What this research studies

This research aims to enhance the prediction of stroke risk in patients with atrial fibrillation (AF) by developing a portable and equitable risk stratification tool. It will utilize artificial intelligence to analyze both traditional risk factors and social determinants of health, ensuring that the tool is adaptable to various health systems. By discovering new relationships among risk factors and incorporating them into a user-friendly format, the project seeks to improve stroke prevention strategies for diverse patient populations. The ultimate goal is to provide personalized risk assessments that can lead to better healthcare outcomes for AF patients.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients diagnosed with atrial fibrillation who are at risk for stroke.

Not a fit: Patients without atrial fibrillation or those who do not have risk factors for stroke may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate and personalized stroke prevention strategies for patients with atrial fibrillation.

How similar studies have performed: Other research has shown promise in using AI for risk stratification in various medical conditions, indicating potential success for this approach.

Where this research is happening

DENVER, 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.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.