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Not Yet Recruiting 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.

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07599956). StuddyBuddy aggregates publicly available trial information.