The advancement of Artificial intelligence (AI) in the field of education has presented significant challenges for educators involved in medical information literacy. These challenges include the gap between traditional medical information literacy curricula and technological innovation; the disparity between teachers’ existing knowledge and the demands of new technologies, and ethical concerns such as data security, algorithmic bias, and the “black box” nature of AI systems. This paper examines these challenges and explores possible solutions, including ongoing professional development programs, academic conferences, and interdisciplinary research projects for educators; broadening their understanding of the application of AI in teaching and the limitations through interdisciplinary collaboration; actively utilizing AI-assisted teaching tools and adopting personalized teaching strategies to enhance teaching effectiveness; incorporating discussions on Artificial intelligence Literacy, such as algorithm transparency, data security, and fairness into the curriculum to ensure that students can critically evaluate AI technologies, etc.