Purpose/Significance To discuss the optimization design of integrating artificial intelligence generated content (AIGC) with the medical literature retrieval course, so as to improve medical students’ comprehensive information literacy. Method/Process A three-stage teaching mode of “theoretical instruction， case-based practice， reflection and discussion” is constructed. The pedagogical roles of AIGC tools are clarified, the specific clinical and research scenarios are designed, and the collaborative application of AIGC tools with traditional databases is demonstrated. Result/Conclusion The proposed teaching design is expected to effectively improve medical students’ information processing skills, cultivate critical thinking abilities, and enhance ethical awareness, providing new insights for the digital transformation of the medical literature retrieval course.