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NCT07599956
Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection
Conditions: Rheumatic Heart Disease
Sex: All
Healthy volunteers: Yes
Phase: NA
Enrollment: 62
Sponsor: Children's Hospital Medical Center, Cincinnati
Location: Uganda Heart Institute Kampala
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.
Eligibility Criteria
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.
Source: ClinicalTrials.gov (NCT07599956). StuddyBuddy aggregates publicly available trial information.