A convolutional neural cardiac diagnostic system, comprising: a cardiogram controller structurally configured to control a generation of a cardiogram derived from a generation of cardiac imaging data by a medical imaging modality device, the cardiogram including a temporal sequence of cardiac images over a heartbeat; and a cardiogram diagnostic controller structurally configured to control a diagnosis of the cardiogram, wherein the cardiogram diagnostic controller includes: a diagnostic periodic volume generator structurally configured to generate a cardiogram diagnostic volume derived from the generation of the cardiogram by the cardiogram controller, the cardiogram diagnostic volume including a periodic stacking of the temporal sequence of cardiac images over a heartbeat; and a diagnostic convolutional neural network structurally configured to classify the cardiogram as one of a normal cardiogram or an abnormal cardiogram based on a convolutional neural analysis of the cardiogram diagnostic volume as generated by the diagnostic periodic volume generator , wherein the medical imaging modality device is an ultrasound imaging device , wherein the cardiogram is an echocardiogram, wherein the cardiogram controller is an echocardiogram controller , wherein the cardiogram diagnostic controller is an echocardiogram diagnostic controller, wherein the cardiogram data is echocardiogram data, wherein the cardiac images are echocardiac images, wherein the cardiogram diagnostic volume is an echocardiogram diagnostic volume. a cardiogram controller structurally configured to control a generation of a cardiogram derived from a generation of cardiac imaging data by a medical imaging modality device, the cardiogram including a temporal sequence of cardiac images over a heartbeat; and a cardiogram diagnostic controller structurally configured to control a diagnosis of the cardiogram, wherein the cardiogram diagnostic controller includes: a diagnostic periodic volume generator structurally configured to generate a cardiogram diagnostic volume derived from the generation of the cardiogram by the cardiogram controller, the cardiogram diagnostic volume including a periodic stacking of the temporal sequence of cardiac images over a heartbeat; and a diagnostic convolutional neural network structurally configured to classify the cardiogram as one of a normal cardiogram or an abnormal cardiogram based on a convolutional neural analysis of the cardiogram diagnostic volume as generated by the diagnostic periodic volume generator , a diagnostic periodic volume generator structurally configured to generate a cardiogram diagnostic volume derived from the generation of the cardiogram by the cardiogram controller, the cardiogram diagnostic volume including a periodic stacking of the temporal sequence of cardiac images over a heartbeat; and a diagnostic convolutional neural network structurally configured to classify the cardiogram as one of a normal cardiogram or an abnormal cardiogram based on a convolutional neural analysis of the cardiogram diagnostic volume as generated by the diagnostic periodic volume generator , wherein the medical imaging modality device is an ultrasound imaging device , wherein the cardiogram is an echocardiogram, wherein the cardiogram controller is an echocardiogram controller , wherein the cardiogram diagnostic controller is an echocardiogram diagnostic controller, wherein the cardiogram data is echocardiogram data, wherein the cardiac images are echocardiac images, wherein the cardiogram diagnostic volume is an echocardiogram diagnostic volume. <EOS>