人工智能融入医学微生物学教学的现状与前景  

Artificial intelligence and medical microbiology teaching:current status,challenges,and prospects

作　　者：何茂章 刘承忠 丁瑞培 张聪 徐可瀚 HE Maozhang;LIU Chengzhong;DING Ruipei;ZHANG Cong;XU Kehan(Department of Microbiology,School of Basic Medical Sciences,Anhui Medical University,Hefei 230032,China)

机构地区：[1]安徽医科大学基础医学院微生物学教研室,合肥230032 [2]安徽医科大学第二临床医学院影像医学教研室

出　　处：《基础医学教育》2024年第4期323-329,共7页Basic Medical Education

基　　金：安徽省高等学校质量工程虚拟仿真实验教学基金资助项目(2021xnfzxm051);安徽省高等学校质量工程教育教学改革研究基金资助项目(2022jyxm726);国家自然科学基金青年基金资助项目(82302568)。

摘　　要：人工智能与医学微生物学的深度融合既是医学高等院校病原微生物学教学现代化的内在要求,也是新时代高校医学类课程教学创新发展的必然选择。文章旨在阐述人工智能在医学微生物学教学中的应用现状,分析实际面临的困难,阐述未来的发展前景。通过结合实际教学案例和研究成果,重点探讨人工智能在医学微生物学教学中的应用领域、创新教学优势和局限性,进而将人工智能技术合理并多样化融入教学实践中,最终在医学微生物学理论和实验教学实施中不断完善相关的教育教学评价机制。The deep integration of artificial intelligence and medical microbiology is not only an inherent requirement for the modernization of pathogenic microbiology teaching in higher medical institutions,but also an inevitable choice for the innovative development of medical courses in the new era.This article aims to elucidate the current application status of artificial intelligence in medical microbiology teaching,analyze the challenges teachers face,and discuss future development prospects.Based on teaching cases and relevant research,the authors discuss the application of AI to the teaching of medical microbiology as well as the advantages and limitations of innovative teaching,aiming to help reasonably integrate AI technology into teaching in diversified ways and improve the educational and teaching evaluation mechanisms in theoretical and experimental teaching of medical microbiology.

关 键 词：医学微生物学 人工智能 教学改革 医学教育 临床医学 

分 类 号：R37[医药卫生—病原生物学]