1 results about "Arteritis" patented technology

This invention discloses a method and system for predicting severe ischemic events in the nervous system caused by large vessel arteritis based on multimodal deep learning. Belonging to the field of intelligent medical image analysis and clinical risk prediction technology, the method includes: acquiring the patient's magnetic resonance angiography data and clinical information; preprocessing the image data; extracting three-dimensional morphological feature vectors from the point cloud of the blood vessel surface based on a point cloud neural network; extracting blood vessel wall feature vectors from the images based on a three-dimensional convolutional neural network; encoding clinical information to generate clinical feature vectors based on a pre-trained basic model; fusing the above three feature vectors to generate a multimodal fusion feature representation; and outputting an individualized risk score based on this fusion feature through a discrete-time survival analysis model. This invention, through multimodal deep collaborative modeling, achieves automated deep fusion analysis of three-dimensional vascular morphology, blood vessel wall structure, and clinical information, significantly improving prediction accuracy, objectivity, and clinical applicability.