Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection

Starting soon · Not applicable

Conditions studied: Rheumatic Heart Disease

In brief

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.

Key facts

Study ID

NCT07599956

Run by

Children's Hospital Medical Center, Cincinnati

People needed

62

Starts

2026-06-01

Expected to finish

2028-06-01

Last updated by the study team

2026-05-27

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

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

You may not qualify if…

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

Where it is running

• Uganda Heart Institute — Kampala, Uganda

Full record on ClinicalTrials.gov

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