Methods and systems for analyzing diastolic function using only 2d echocardiographic images

A system for classifying a patient's diastolic function, comprising;

• an ultrasound device configured to obtain a plurality of 2D echocardiographic images of the patient's heart;
• a trained diastolic function prediction algorithm trained to estimate left ventricular end-diastolic pressure (LVEDP) from the plurality of 2D echocardiographic images of the patient's heart, wherein the trained diastolic function prediction algorithm is trained to receive as input one or more 2D echocardiographic images, and to generate as output the estimate of left ventricular end-diastolic pressure (LVEDP);
• a user interface;
• a processor configured to:
• (i) analyze, using the trained diastolic function prediction algorithm, the plurality of 2D echocardiographic images of the patient's heart to estimate LVEDP;
• (ii) classify the patient's diastolic function as normal or abnormal based on the estimated LVEDP;
• and (iii) direct the user interface to provide an indication of the patient's diastolic function as normal or abnormal.

A method for classifying a patient's diastolic function, the method comprising:

• receiving a plurality of 2D echocardiographic images of the patient's heart,
• analyzing, by a trained diastolic function prediction algorithm, the plurality of 2D echocardiographic images of the patient's heart to estimate left ventricular end-diastolic pressure (LVEDP), wherein the trained diastolic function prediction algorithm is trained to receive as input one or more 2D echocardiographic images, and to generate as output the estimate of left ventricular end-diastolic pressure (LVEDP);
• classifying the patient's diastolic function as normal or abnormal based on the estimated LVEDP, and
• providing, to a user via a user interface, an indication of the patient's diastolic function as normal or abnormal.