A stroke diagnosis apparatus based on AI [Artificial Intelligence], the apparatus comprising: an image obtainer obtaining a non-contrast CT image related to a brain of at least one patient; a preprocessor pre-processing the non-contrast CT image and determining whether the at least one patient is in a non-hemorrhage state or a hemorrhage state on the basis of the pre-processed image; an image processor normalizing the pre-processed image and dividing and extracting an ROI [Region of Interest] using a preset standard mask template; and a determiner 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 determiner estimates an ASPECT [Alberta Stroke Program Early CT] score of the at least one patient using the divided and extracted ROI when there is a problem with the cerebral large vessel of the at least one patient, and determines that the at least one patient is a patient to whom mechanical thrombectomy is applied only when the estimated ASPECT score is a predetermined value or more, wherein the determiner includes: an ischemia classifier determining whether there is ischemia in the brain of the at least one patient using the divided and extracted ROI; a large vessel occlusion determiner determining whether there is a problem with a cerebral large vessel of the at least one patient when there is the ischemia; an ASPECTS determiner estimating the ASPECT score of the at least one patient using the divided and extracted ROI when there is a problem with the cerebral large vessel; and a thrombectomy determiner determining that the at least one patient is a patient to whom the mechanical thrombectomy is applied only when the estimated ASPECT score is a predetermined value or more; wherein, when the estimated ASPECT score is a predetermined value or more, the thrombectomy determiner determines that the at least one patient is a patient to whom the mechanical thrombectomy is applied, only when a reference determined through information obtained by the ischemia classifier and information obtained by the large vessel occlusion determiner is a predetermined reference or more. an image obtainer obtaining a non-contrast CT image related to a brain of at least one patient; a preprocessor pre-processing the non-contrast CT image and determining whether the at least one patient is in a non-hemorrhage state or a hemorrhage state on the basis of the pre-processed image; an image processor normalizing the pre-processed image and dividing and extracting an ROI [Region of Interest] using a preset standard mask template; and a determiner 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 determiner estimates an ASPECT [Alberta Stroke Program Early CT] score of the at least one patient using the divided and extracted ROI when there is a problem with the cerebral large vessel of the at least one patient, and determines that the at least one patient is a patient to whom mechanical thrombectomy is applied only when the estimated ASPECT score is a predetermined value or more, wherein the determiner includes: an ischemia classifier determining whether there is ischemia in the brain of the at least one patient using the divided and extracted ROI; a large vessel occlusion determiner determining whether there is a problem with a cerebral large vessel of the at least one patient when there is the ischemia; an ASPECTS determiner estimating the ASPECT score of the at least one patient using the divided and extracted ROI when there is a problem with the cerebral large vessel; and a thrombectomy determiner determining that the at least one patient is a patient to whom the mechanical thrombectomy is applied only when the estimated ASPECT score is a predetermined value or more; an ischemia classifier determining whether there is ischemia in the brain of the at least one patient using the divided and extracted ROI; a large vessel occlusion determiner determining whether there is a problem with a cerebral large vessel of the at least one patient when there is the ischemia; an ASPECTS determiner estimating the ASPECT score of the at least one patient using the divided and extracted ROI when there is a problem with the cerebral large vessel; and a thrombectomy determiner determining that the at least one patient is a patient to whom the mechanical thrombectomy is applied only when the estimated ASPECT score is a predetermined value or more; wherein, when the estimated ASPECT score is a predetermined value or more, the thrombectomy determiner determines that the at least one patient is a patient to whom the mechanical thrombectomy is applied, only when a reference determined through information obtained by the ischemia classifier and information obtained by the large vessel occlusion determiner is a predetermined reference or more.