Systems and methods for facilitating opportunistic screening for cardiomegaly

A computer-implemented method for facilitating population health research using CT imaging datasets, comprising:

• obtaining a CT imaging dataset for a population, the CT imaging dataset comprising a plurality of sets of CT images, each set of CT images of the plurality of sets of CT images being associated with a respective person;
• determining a set of heart measurements comprising one or more separate heart measurements for each set of CT images of the plurality of sets of CT images, the set of heart measurements being determined using an artificial intelligence (AI) module configured to determine heart measurement output based on CT image set input;
• obtaining patient outcome data comprising one or more patient outcomes for each respective person associated with a set of CT images;
• and
• determining one or more correlations between the set of heart measurements and the patient outcome data.

A computer-implemented method for facilitating opportunistic screening for cardiomegaly, comprising:

• obtaining a set of medical images, the set of medical images capturing at least a portion of a heart of a patient, the set of medical images being captured for a purpose independent of assessing cardiomegaly, the set of medical images comprising medical images captured in a non-gated manner;
• using the set of medical images as an input to an artificial intelligence (AI) module configured to determine a heart measurement based on medical image set input by:
• identifying a subset of medical images from the medical image set input, the subset of medical images providing one or more largest measurements associated with a heart represented in the medical image set input, and
• providing heart measurement output based on the one or more largest measurements associated with the heart represented in the medical image set input, wherein the AI module is trained using training data comprising (i) a plurality of training sets of medical images and (ii) for each training set of medical images of the plurality of training sets of medical images, an identification of a respective subset of medical images and a respective heart measurement based on the respective subset of medical 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.