Machine-learning algorithms can assist in the discrimination of physiological versus pathological patterns on 2D echocardiograms, representing a step towards the development of a real-time, machine-learning–based system for automated interpretation of echocardiographic images.

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Machine-learning algorithms can assist in the discrimination of physiological versus pathological patterns on 2D echocardiograms, representing a step towards the development of a real-time, machine-learning–based system for automated interpretation of echocardiographic images.