CORONARY ARTERY STENT PREDICTION METHOD, DEVICE, AND RECORDING MEDIUM USING DEEP LEARNING BASED ON ULTRASOUND IMAGE

A deep learning-based stent prediction method according to an embodiment of the present disclosure includes: setting, as a region of interest, a region in which a procedure is to be performed, among blood vessel regions of a target patient, and obtaining a first intravascular ultrasound (IVUS) image, which is a preprocedural IVUS image of the region of interest; obtaining a plurality of first IVUS cross-sectional images into which the first IVUS image is divided at predetermined intervals; extracting feature information about procedure information about the target patient; obtaining mask image information in which a blood vessel boundary and an inner wall boundary are distinguished from each other, with respect to the plurality of first IVUS cross-sectional images; and predicting progress of a stent procedure including a postprocedural area of a stent for the target patient, by inputting, into an artificial intelligence model, the plurality of first IVUS cross-sectional images, the feature information, and the mask image information.