Purpose/Significance To construct a knowledge graph intelligent teaching application system, and to provide data support for medical universities and colleges to continuously optimize specialty construction and improve the training quality of medical and relevant specialty. Method/Process By using literature induction method, the paper systematically sorts out the current application progress of knowledge graph in teaching, and builds a knowledge graph intelligent teaching application system based on Bloom’s teaching cognitive model, combined with students’ learning situation and underlying algorithms. Result/Conclusion Through accurate detection, content push and path planning, the system forms a dynamic closed-loop teaching feedback mechanism, which helps to improve the precision teaching ability of clinical teachers and promote personalized learning of medical students.