The main objective of this study is to evaluate a machine learning model's ability to detect murmurs indicative of structural heart disease (structural murmur) by analyzing phonocardiogram waveforms-and simultaneous electrocardiogram waveforms when available-in multiple auscultatory positions per subject. Diagnosis of structural murmur will be confirmed by gold-standard echocardiography and reviewed by an expert panel of cardiologists.