Purpose/Significance To establish an industry-education-research collaborative teaching model for medical data mining courses, so as to promote the systematic cultivation of interdisciplinary medical innovation talents. Method/Process Taking undergraduate medical students as the object, the course of “R programming and fundamentals of machine learning” is set with a triadic curriculum goal of “learning to learn, learning to apply, and learning to create”, and a collaborative teaching pathway characterized by strong practice orientation, dual-teacher engagement, technological empowerment and multi-dimensional assessment is constructed. Through the deep involvement of industry teachers, AI-driven teaching assistants, and project-based learning, the interdisciplinary comprehensive ability and practical innovation ability of medical students can be enhanced. Result/Conclusion The industry-education-research collaborative model has effectively enhanced the comprehensive abilities of medical students in the fields of medical data mining and intelligent technology. It has good replicability and promotion value and can provide practical references for the reform of medical education under the background of the new medical education initiative.