Abstract: There are a large number of patients in China, but the distribution of medical resources is unbalanced. The diagnosis and treatment level of pituitary diseases in medical institutions is uneven, which makes this kind of disease easily misdiagnosed and improperly treated. With the development of hospital information technology and internet technology, a large number of clinical medical data can build and improve the database of pituitary diseases after data cleaning. With artificial intelligence technology and real world research methods, data are deeply mined, summarized, and analyzed. In view of problems encountered in clinical practice, we should carry out relevant clinical research, build a more efficient and consistent auxiliary solution to clinical diagnosis and treatment, guide clinicians to formulate more reasonable diagnosis and treatment strategies, and realize individualized diagnosis and treatment for pituitary diseases.