Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
AgeNot listed
SponsorChildren's Hospital Medical Center, Cincinnati

About this trial

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.

Eligibility criteria

Qualifiers

Employed at a participating ADUNU facility

Holds a designated role in the ADUNU program as a nurse screener

Disqualifiers

None. The pragmatic trial design includes all eligible staff at participating facilities.

Trial design

Treatments tested in this trial

  • AI assisted echocardiography

Treatment groups

62 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Children's Hospital Medical Center, Cincinnati

Lead sponsor

Uganda Heart Institute

Collaborator

Ochsner Health System

Collaborator

Vanderbilt University Medical Center

Collaborator

Children's National Health Center

Collaborator