基础医学教育2026，Vol.28Issue(6)：553-556,4.DOI:10.13754/j.issn2095-1450.2026.06.13
基于人工智能的解剖学CBL案例生成系统构建
Construction of an AI-based CBL case generation system for the course of anatomy
摘要
Abstract
The authors have developed an AI-based case generation system to address the challenges of difficult resource integration,time-consuming case design,and insufficient personalized support in the teaching of anatomy.They establish a local knowledge base by integrating medical imaging data and clinical guidelines,and also utilize a zero-code platform to build AI agents that can automati-cally link anatomical structures,radiographic features,and clinical information.The system can dynamically generate comprehensive cases combining patient history,anatomical knowledge,and clinical analysis to meet the teaching needs,while simultaneously support personalized interactive designs.Results show that the system significantly shortens design cycles while guaranteeing the accuracy of teaching content and it greatly enhances the efficiency of teaching preparation,providing practical reference for AI application to the teaching of anatomy.关键词
解剖学/教学改革/人工智能/智能体/案例学习法Key words
anatomy/teaching reform/artificial intelligence/AI agents/case-based learning分类
医药卫生引用本文复制引用
任冰玉,于光印,王来建,李炯,郭国庆,张吉凤..基于人工智能的解剖学CBL案例生成系统构建[J].基础医学教育,2026,28(6):553-556,4.基金项目
广东省本科高校教学质量与教学改革工程建设基金资助项目(粤教高函[2026]4号) （粤教高函[2026]4号）
暨南大学实验教学改革研究专项基金资助项目(82625029) （82625029）
暨南大学"人工智能+"教育教学改革研究基金资助项目(JG2025096,JG2025130) （JG2025096,JG2025130）
