| CPC G06T 7/0012 (2013.01) [G06T 7/62 (2017.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01)] | 16 Claims |
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1. A computer-implemented method for facilitating opportunistic screening for cardiomegaly, comprising:
obtaining a set of computed tomography (CT) images, the set of CT images capturing at least a portion of a heart of a patient, the set of CT images being captured for a purpose independent of assessing cardiomegaly, the set of CT images comprising CT images captured in a non-gated manner;
using the set of CT images as an input to an artificial intelligence (AI) module configured to determine a heart measurement based on CT image set input by:
identifying a subset of CT images from the CT image set input, the subset of CT images providing one or more largest measurements associated with a heart represented in the CT image set input, and
providing heart measurement output based on the one or more largest measurements associated with the heart represented in the CT image set input, wherein the AI module is trained using training data comprising (i) a plurality of training sets of CT images and (ii) for each training set of CT images of the plurality of training sets of CT images, an identification of a respective subset of CT images and a respective heart measurement based on the respective subset of CT images;
obtaining heart measurement output based on output of the AI module; and
based on the heart measurement output, classifying the patient into one of a plurality of risk levels for cardiomegaly, the classification being operable to trigger additional action based on the corresponding risk level for cardiomegaly.
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