Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
NCT: NCT07270692 · RECRUITING
Publicidad
Resumen breve
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.
Fuente oficial
Ver en ClinicalTrials.gov →Datos obtenidos de la API de ClinicalTrials.gov. Para conocer el estado más reciente, consulte el registro oficial.