The present invention relates to an apparatus and method for discriminating early changes in elderly mental disorders using MRI images. According to the present invention, a data set is formed using a server that classifies and stores MRI image data generated in a medical examination center and hospital into normal data, abnormal data, and individual data, and each data collected in the server. , A neural network model building unit that builds a neural network model learned from the formed data set, and inputs a photographed MRI image to the neural network model, and compares the input MRI image data with normal and abnormal data for the same age group and data for each symptom. It includes a prediction unit that analyzes and provides prediction time and symptom information according to the change in the trend of the part where the abnormality has occurred. In this way, the group change discrimination device according to the present invention is mathematically numerically converted by fusion of input information data for each individual with a cognitive impairment or dementia symptom with normal people of the same age group, and constructing an artificial intelligence discrimination logic database for early symptom change. , Future changes can be predicted through calculation of the change amount and trend of the MRI image.
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