Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
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.
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