Most medical data are stored in electronic medical records and recorded as text because there are individual differences in patients and pathological conditions. AI researchers decipher the information necessary for research from these data to create a dataset manually. Tokyo Women’s Medical University has built a surgical prognosis management system, the Clinical Information Analyzer (CIA). This system consists of three functions: cleansing and accumulating medical data, analyzing data, and feeding back the analysis results to doctors. Additionally, the prognosis of patients who have undergone brain tumor resection will be proposed using AI and data of CIA system. Two models, “survival prognosis” and “functional prognosis,” will be developed as prognosis prediction models. In the future, we would like to use this follow-up information to improve the accuracy of prognostic prediction.