The current process for obtaining and evaluating TTE images at Duke and many other large centers consists of a sonographer procuring images and then completing a preliminary report. An attending echocardiographer then evaluates this report, along with the corresponding images. Edits to the report are made, as needed, and then the finalized results are uploaded to the electronic health record. This project would apply state-of-the-art machine learning techniques in order to comprehensively evaluate TTEs and automatically extract meaningful clinical information from raw images and scan.