The invention relates to a neural network-based cerebral
ischemia risk
estimation platform, which comprehensively considers carotid plaque data and
brain magnetic resonance images. ) and obviously abnormal plaques (high risk), leaving carotid plaques that are not easy to judge without obvious
stenosis, and then use
brain magnetic resonance images to break the conventional
perception of carotid plaques themselves. Research to explore the relationship between plaque and brain structure, based on neural network modules, can predict carotid plaques from the initial changes of the brain, and estimate the level of cerebral
ischemia risk, which can be used for the assessment of cerebral
ischemia risk. It is used for the prediction and prevention of
acute stroke,
chronic cerebral ischemia, vascular
dementia, etc. It is used for clinical prediction. It has a very positive effect on prevention before it occurs. It can improve the accuracy of diagnosis and save the
disease to a greater extent and in a timely manner. suffer from life.