Artificial intelligence (ai) recognition of echocardiogram images to enhance a mobile ultrasound device

A system, comprising:

• a memory storing a patient study comprising:
• a plurality of echocardiogram (echo) images taken by an ultrasound device of a patient heart;
• one or more processors coupled to the memory;
• and
• a workflow engine executed by the one or more processors that is configured to:
• receive a plurality of echocardiogram (echo) images captured by an ultrasound device, the ultrasound device including a display and a user interface (UI) that displays the echo images to a user, the echo images comprising 2D images and Doppler modality images of a heart;
• process the echo images to automatically classify the echo images by view type;
• simultaneously display the view type of the echo images in the UI of the ultrasound device along with the echo images;
• generate a report showing calculated measurements of features in the echo images;
• and
• display the report showing the calculated measurements on a display device.

A non-transitory computer-readable medium containing program instructions for implementing an automated workflow, which when executed by a processor configure the processor for:

• receiving, by the at least one processor, a plurality of echocardiogram (echo) images captured by an ultrasound device, the ultrasound device including a display and a user interface (UI) that displays the echo images to a user, the echo images comprising 2D images and Doppler modality images of a heart;
• processing, by one or more neural networks, the echo images to automatically classify the echo images by view type;
• simultaneously displaying the view type of the echo images in the UI of the ultrasound device along with the echo images;
• generating a report showing calculated measurements of features in the echo images;
• and
• displaying the report showing the calculated measurements on a display device.