Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination

A computer-implemented method of automatically searching and curating data related to a medical condition of a subject based at least in part on one or more variables derived from image-based analysis of the subject, the method comprising:

• accessing, by a computer system, a medical image of a subject, the medical image comprising a representation of a portion of one or more coronary arteries;
• analyzing, by the computer system, the medical image to identify one or more coronary arteries, the one or more coronary arteries comprising one or more regions of plaque;
• analyzing, by the computer system, the identified one or more coronary arteries and the one or more regions of plaque to generate a plurality of image-derived variables, the plurality of image-derived variables comprising one or more of percent atheroma volume of total plaque, total plaque volume, percent atheroma volume of low-density non-calcified plaque, percent atheroma volume of non-calcified plaque, percent atheroma volume, low-density non-calcified plaque volume, percent atheroma volume of total calcified plaque, non-calcified plaque volume, total calcified plaque volume, percent atheroma volume of total non-calcified plaque, percent atheroma volume of low-density calcified plaque, percent atheroma volume of high-density calcified plaque, total non-calcified plaque volume, low-density calcified plaque volume, percent atheroma volume of medium-density calcified plaque, high-density calcified plaque volume, medium-density calcified plaque volume, number of high-risk plaque regions, number of segments with calcified plaque, number of segments with non-calcified plaque, plaque area, plaque burden, necrotic core percentage, necrotic core volume, fatty fibrous volume, fatty fibrous percentage, dense calcium percentage, low-density calcium percentage, medium-density calcified percentage, high-density calcified percentage, vessel length, segment length, lesion length, lumen volume, number of chronic total occlusion (CTO), vessel volume, number of stenosis, severity of stenosis, remodeling index, minimum lumen diameter, maximum lumen diameter, mean lumen diameter, stenosis area percentage, stenosis diameter percentage, number of mild stenosis, number of moderate stenosis, number of zero stenosis, number of severe stenosis, presence of high-risk anatomy, presence of positive remodeling, number of severe stenosis excluding CTO, vessel area, lumen area, diameter stenosis percentage, reference lumen diameter before stenosis, perivascular fat attenuation, or reference lumen diameter after stenosis;
• generating, by the computer system, one or more syntaxes descriptive of the medical image based at least in part on the plurality of image-derived variables;
• automatically searching, by the computer system, a database of medical literature for data related to a medical condition of the subject based at least in part on the generated one or more syntaxes;
• and
• causing, by the computer system, generation of a display of the data related to the medical condition of the subject,
• wherein the computer system comprises a computer processor and an electronic storage medium.