Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
Trial Parameters
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Brief Summary
The main objectives of this study are to train and evaluate an algorithm that predicts whether an individual has an ejection fraction ≤ 40%, using heart sounds and a 3-lead ECG as inputs, as well as determine the impact of gender, age, and race on algorithm performance.
Eligibility Criteria
Inclusion Criteria: * Adults aged 18 years and older * Able and willing to provide informed consent * Complete a clinical echocardiogram within 7 days before or after study procedures Exclusion Criteria: * Unwilling or unable to provide informed consent * Patients who are hospitalized