组织学与胚胎学作为医学教育的重要基础学科，其传统的教学模式在数字化时代面临多重挑战。本研究以北京大学基础医学院教学改革实践为例，系统阐述组织学与胚胎学人工智能(AI)智慧课程的建设背景、实施路径与创新范式。课程建设涵盖基于认知规律重构知识图谱与课程目标体系及整合动态数字资源与AI技术（如虚拟教师、智能导学助手）实现教学资源智能化升级。课程实施过程中创新应用多维度过程性评估体系，融合在线学习行为分析、AI测验及实习课闯关式考核，并将评估结果动态纳入课程总评机制。本文中我们针对课程实践中遇到的问题进行分析并提出解决思路，同时从深度智能化、多模态融合等方向对AI课程建设进行展望，旨在为基础医学AI课程建设提供理论框架与实践参考。

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.