Systems and methods for system agnostic automated detection of cardiovascular anomalies and/or other features

Abstract

Systems and methods are provided for processing image data generated by a medical imaging system such as an ultrasound or echocardiogram system using artificial intelligence and machine learning to determine a presence of one or more congenital heart defects (CHDs) and/or other cardiovascular anomalies in the image data in a manner that is agnostic to the type of imaging system, software, and/or hardware. Image data from various types imaging systems, software, and/or hardware, having various styles of imaging data generated may be processed to determine image styles. Input image data for analysis may then be processed together with representative styles of image data to generate styled input images for each style. The styled input images may be processed by an image analyzer to detect one or more cardiovascular anomalies in the styled image data, for example. Alternatively, training data may be styled and used to train the image analyzer.