The invention relates to the technical field of
artificial intelligence, in particular to an
acute ischemic stroke infarction core area expansion risk
prediction system, which comprises an acquisition module for acquiring head MRI-DWI images and
clinical information of a patient; the first prediction module is used for predicting the expansion risk of an
infarction core region according to the
clinical information and the head MRI-DWI image; and the second prediction module is used for marking an expanded area of the
infarction core area according to the head MRI-DWI image. In order to solve the problem that an
image processing scheme in the prior art is low in diagnosis efficiency improvement, two models are introduced to effectively process multi-
modal information composed of a head MRI-DWI image of a patient and
clinical information, the possibility of further progression of the condition of the patient according to the current multi-
modal information is predicted, and the probability of further progression of the condition of the patient according to the current multi-
modal information is predicted. When the infarction core area is expanded, the range is possibly expanded on the image, and the prediction range and the quantitative
evaluation result of the infarction core area are visually displayed on
the primary diagnosis MRI-DWI sequence, so that a doctor can make further diagnosis conveniently.