Abstract: This method and system supplements medical ultrasound imaging devices with a user installable touchscreen monitor and processor that delivers additional functionality to the device. This addition allows for multiple machine learning models working in sequence to provide real-time and near real-time new information to the user. This new information is being produced by multiple machine learning models that are installed on the device and selected by the user using the touch screen to identify features, perform computer aided diagnostics, automatic image calibration, automatically highlight regions of interest, feature highlighting, automatic annotation of images and report generation. The data gathered from the image processing and user inputs are then converted to an industry standard data format. This new information is combined into a report for user review and transferred to the hospital picture archive and communication system, the electronic health record and the hospital billing system.