To provide an apparatus and a method for diagnosing a stroke using an artificial intelligence algorithm for selecting an emergency large vascular occlusion patient from a CT image.SOLUTION: A stroke diagnosis apparatus comprises: an image obtaining unit S10 obtaining a CT image related to the brain of a patient; a preprocessing unit S20 pre-processing the CT image and determining whether the patient is in a non-hemorrhage state or a hemorrhage state; an image processing unit S40 normalizing the pre-processed image and dividing and extracting an ROI (Region of Interest) using a standard mask template; and a determination unit S90 determining whether there is a problem with a cerebral large vessel of the at least one patient using the divided and extracted ROI, wherein the determination unit estimates an ASPECT score S100 of the patient by using the divided and extracted ROI when there is an abnormality in the cerebral large vessel of the patient, and determines the patient as a patient to whom mechanical thrombectomy S110 is applied only when the estimated ASPECT score corresponds to a predetermined value or more.SELECTED DRAWING: Figure 5
STROKE DIAGNOSIS APPARATUS BASED ON ARTIFICIAL INTELLIGENCE AND METHOD