Device method and recording medium for providing information on ischemic lesions through coronary angiography-based machine learning

摘要

The present invention provides a diagnostic system for predicting fractional flow reserve (FFR) through a machine learning algorithm based on coronary angiography of a coronary artery and diagnosing whether a coronary artery lesion exists and a diagnostic method thereof is about The method for diagnosing an ischemic lesion of the present invention includes the steps of acquiring an angiography image of a blood vessel of a patient, extracting a region of interest from the angiography image, acquiring information on the diameter of a blood vessel in the region of interest, and obtaining diameter information It includes the steps of extracting the morphological features of blood vessels based on the morphological features and inputting the morphological features into an artificial intelligence model to obtain an FFR predicted value, and determining whether an ischemic lesion is present.