人工智能背景下医学影像技术专业线性代数课程教学改革与实践  

Teaching reform and practice of the linear algebra course for medical imaging technology major under the background of artificial intelligence

作　　者：韩文静[1] 董建鑫[1] 周辰 胡玲静[1] HAN Wenjing;DONG Jianxin;ZHOU Chen;HU Lingjing(Department of Medical Imaging Technology,Capital Medical University Yanjing Medical College,Beijing 101300,China)

机构地区：[1]首都医科大学燕京医学院医学影像学学系,北京101300

出　　处：《数理医药学杂志》2024年第10期799-805,共7页Journal of Mathematical Medicine

基　　金：北京市教育科学“十四五”规划2022年度一般课题(CFDB22186)。

摘　　要：在人工智能快速发展的背景下,医学影像技术专业的教育面临新的机遇和挑战。目前线性代数课程教学中存在教学内容与专业需求脱节、偏重理论、学生学习兴趣低等问题。本文以首都医科大学四年制医学影像技术专业的线性代数课程为例,归纳总结了一系列基于人工智能的教学改革方法,通过构建案例库、引入Python编程及动画与交互式网页,并结合混合式教学模式,探索人工智能技术融入医学影像技术专业线性代数课程建设的途径。In the context of the rapid development of artificial intelligence,the education of medical imaging technology faces new opportunities and challenges.At present,there are some problems in the teaching of linear algebra courses,such as the disconnection between the teaching content and the professional needs,the emphasis on theory,and the low interest of students in learning.Taking the linear algebra course of the four-year medical imaging technology major at Capital Medical University as an example,this paper summarized a series of teaching reform methods based on artificial intelligence.By building a case library,introducing Python programming,animations and interactive web pages,and combining them with the blended teaching mode,the ways of integrating artificial intelligence technology into the construction of the linear algebra course in medical imaging technology were explored.

关 键 词：人工智能 医学影像技术 线性代数 跨学科融合 教学改革 

分 类 号：R445[医药卫生—影像医学与核医学]