Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection

Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection

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.

Inclusion Criteria:

• Employed at a participating ADUNU facility
• Holds a designated role in the ADUNU program as a nurse screener

Exclusion Criteria:

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