The pipeline of AI algorithms underpinning EchoGo was built in partnership with the NHS in the United Kingdom and leading cardiology clinical centres in the United States, all of which have expertise in echocardiography, vascular assessment and clinical physiology. These have provided access to large imaging archives suitable for training and validation of EchoGo.
The system consists of several fundamental computational phases:
Convolutional neural networks (CNN) applied to the automation of left ventricle (LV) segmentation
Models were created using thousands of echocardiographic images in the two and four-chamber views
Cardiac cycles are determined using a complex algorithm to detect the correct end-diastolic (ED) and end-systolic (ES) frames
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