Abstract: A method for detecting rheumatic heart disease (RHD) based on at least an echocardiogram, the method including receiving echocardiogram data, extracting first frames corresponding to at least one echocardiogram view from the echocardiogram data, extracting second frames corresponding to ventricular systole from the first frames corresponding to the at least one echocardiogram view, and determining, via at least one machine learning model, an RHD risk score based on the second frames corresponding to ventricular systole.

Abstract: A system and method of creating a 3-dimensional (3D) replica of a patient's anatomy. The method includes acquiring 3D echo images of the patient's anatomy using ultrasound waves, selecting a filter that reduces noise in the 3D echo images, selecting a segmentation algorithm to segment the filtered 3D echo images, selecting at least one additional segmentation algorithm to subsequently segment the segmented 3D echo images, creating a 3D digital model, and outputting the 3D digital model as the 3D replica of the patient's anatomy. The method also includes acquiring other 3D images using MRI/CT scans, creating another 3D digital model, determining a scaling factor to scale the other 3D digital model to correspond to a size of the 3D digital model created using ultrasound waves, combining the 3D digital model and the other 3D digital model, and outputting the combined 3D digital models.