A stroke diagnosis and prognosis prediction system comprising: an image acquisition unit configured to receive a plurality of images comprising at least some of a human brain; an image array unit configured to arrange the plurality of images based on a standard brain image; a lesion area detection and mapping unit configured to detect lesion areas in the plurality of images, respectively, and generate a single mapping image by mapping the plurality of images to the detected lesion areas; a matching and correction unit configured to match the mapping image with the standard brain image by scaling the mapping image and perform image correction on the mapping image; a three-dimensional image generation unit configured to generate a three-dimensional lesion image by storing the mapping image in a three-dimensional data space; and a stroke diagnosis unit configured to diagnose a stroke based on the three-dimensional lesion image, wherein the stroke diagnosis unit includes: a 3-D lesion image feature extraction unit configured to extract the features of the three-dimensional lesion image stored in the three-dimensional data space using a deep neural network; a stroke cause classification unit configured to diagnose a stroke by classifying a stroke cause based on the extracted features of the three-dimensional lesion image; a severity classification unit configured to classify the severity of the diagnosed stoke; an intra-three-week risk prediction unit configured to predict a risk of the worsening possibility of a patient state within three weeks after the hospital stay of the patient as a percentage; and a patient state prediction unit configured to predict a patient state after three months based on mRS classification regulations, wherein the intra-three-week risk prediction unit configured to classify 90% or more of the rate of a risk as "risk very high", classify 70%~90% of the rate of a risk as "risk high", classify 30%~70% of the rate of a risk as "risk normal", and classify less than 30% of the rate of a risk as "risk low.". an image acquisition unit configured to receive a plurality of images comprising at least some of a human brain; an image array unit configured to arrange the plurality of images based on a standard brain image; a lesion area detection and mapping unit configured to detect lesion areas in the plurality of images, respectively, and generate a single mapping image by mapping the plurality of images to the detected lesion areas; a matching and correction unit configured to match the mapping image with the standard brain image by scaling the mapping image and perform image correction on the mapping image; a three-dimensional image generation unit configured to generate a three-dimensional lesion image by storing the mapping image in a three-dimensional data space; and a stroke diagnosis unit configured to diagnose a stroke based on the three-dimensional lesion image, wherein the stroke diagnosis unit includes: a 3-D lesion image feature extraction unit configured to extract the features of the three-dimensional lesion image stored in the three-dimensional data space using a deep neural network; a stroke cause classification unit configured to diagnose a stroke by classifying a stroke cause based on the extracted features of the three-dimensional lesion image; a severity classification unit configured to classify the severity of the diagnosed stoke; an intra-three-week risk prediction unit configured to predict a risk of the worsening possibility of a patient state within three weeks after the hospital stay of the patient as a percentage; and a patient state prediction unit configured to predict a patient state after three months based on mRS classification regulations, wherein the intra-three-week risk prediction unit configured to classify 90% or more of the rate of a risk as "risk very high", classify 70%~90% of the rate of a risk as "risk high", classify 30%~70% of the rate of a risk as "risk normal", and classify less than 30% of the rate of a risk as "risk low.".