Histology and embryology, as important foundational disciplines in medical education, face multiple challenges with their traditional teaching models in the digital era. Using the practices of Peking University Health Science Center as a case study, in this paper we systematically elaborates on the construction background, implementation pathways, and innovative approaches for developing an artificial intelligence (AI)-powered smart curriculum in histology and embryology. The curriculum development encompasses reconstructing knowledge graphs and curriculum objective  systems based on cognitive learning principles, and integrating dynamic digital resources and AI technologies (e.g., virtual instructors, intelligent tutoring assistants) to achieve smart upgrades of teaching materials. During the course implementation, a multidimensional process-oriented assessment system was innovatively applied. This system integrates online learning behavior analytics, AI testing, and gamified practical skill assessments, while dynamically integrating the evaluation result  into the final course grading mechanism. This paper analyzes challenges encountered during curriculum practice and proposes solutions. It also envisions future directions for AI curriculum development such as deep intelligence integration and multimodal integration, providing a theoretical framework and practical references for constructing AI-enhanced curricula in basic medical sciences.