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.
Employed at a participating ADUNU facility
Holds a designated role in the ADUNU program as a nurse screener
None. The pragmatic trial design includes all eligible staff at participating facilities.
Parallel
AI assisted echocardiography
Diagnostic testContinue standard of care with AI-assisted echocardiography
Accuracy of Provider RHD Screening
The number of correctly identified (positive or negative) screenings divided by the total number of exams.
Interpretation Sensitivity
The number of correctly identified positive screening exams divided by the sum of correctly identified positive and incorrectly identified negative exams.
Click on the lead sponsor to view all of their trials.
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
This trial is not recruiting at the moment. You can still explore other options:
