Objective: This study aims to assess the ability of state-of-the-art machine learning algorithms to detect valvular heart disease (VHD) from digital heart sound recordings in a general population that includes asymptomatic cases and intermediate stages of disease progression.<p> <p>Methods: We trained a recurrent neural network to predict murmurs from heart sound audio using annotated recordings ...