Before revision:  Here we show that a large dataset of 723,754 clinically-acquired echocardiographic videos ( approx. 45 million images) linked to longitudinal follow-up data in 27,028 patients can be used to train a deep neural network to predict 1-year survival with good accuracy .
After revision:  Here we show that a large dataset of 723,754 clinically-acquired echocardiographic videos ( ~ 45 million images) linked to longitudinal follow-up data in 27,028 patients can be used to train a deep neural network to predict 1-year survival with good accuracy .