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Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection

NCT07599956 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 62

Last updated 2026-05-27

No results posted yet for this study

Summary

The main goal of this project is to see if RADAR (Rapid AI-assisted Detection and Analysis of Rheumatic heart disease), which is a machine and deep-learning AI model, can help make rheumatic heart disease (RHD) screening easier to expand. Specifically, the project will test whether RADAR can screen as accurately-or more accurately-than current methods, and whether it can be used effectively in different low-resource settings. The aim is to show that RADAR could be adopted and used widely around the world.

Conditions

  • Rheumatic Heart Disease

Interventions

DIAGNOSTIC_TEST

AI assisted echocardiography

Continue standard of care with AI-assisted echocardiography

Sponsors & Collaborators

  • Uganda Heart Institute

    collaborator OTHER

  • Ochsner Health System

    collaborator OTHER

  • Vanderbilt University Medical Center

    collaborator OTHER

  • Children's National Health Center

    collaborator UNKNOWN

  • Children's Hospital Medical Center, Cincinnati

    lead OTHER

Principal Investigators

  • Andrea Beaton · Children's Hospital Medical Center, Cincinnati

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-06-30
Primary Completion
2028-06-30
Completion
2028-06-30

Countries

  • Uganda

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07599956 on ClinicalTrials.gov