医药高职教育与现代护理2025，Vol.8Issue(3)：185-189,5.DOI:10.3969/j.issn.2096-501X.2025.03.001
人工智能赋能医学影像诊断学课程教学改革的路径研究
Research on the path of AI-Driven educational reform of Medical Imaging Diagnostics
摘要
Abstract
Medical Imaging Diagnostics,as a crucial core course in medical imaging technology,has seen its traditional teaching methods become increasingly outdated,failing to keep pace with the rapid advancements in the field.Key challenges in the educational process include limited access to imaging resources,a disconnect between teaching and clinical practice,rigid instructional methodologies,and a lack of diverse evaluation and feedback methods.Artificial intelligence(AI)offers new possibilities for enhancing this course by enabling intelligence,personalized learning experience and providing a technical foundation for interactive education.This study explores AI-driven teaching reform in Medical Imaging Diagnostics from three key dimensions:the development of an AI-integrated medical imaging diagnostic teaching platform,the implementation of a human-AI collaborative"dual-teacher classroom"model,and the establishment of a multi-dimensional teaching evaluation and feedback system.Furthermore,it examines critical challenges in practical implementation,including the standardization of medical imaging data,the evolving role of educators,and differences in student adaptability.These insights aim to facilitate the integration of AI in both medical imaging-assisted diagnosis and medical education.关键词
人工智能/医学影像诊断学/教学改革/路径Key words
Artificial Intelligence/Medical Imaging Diagnostics/Teaching Reform/Pathway引用本文复制引用
蔡阿惠,陈桐君..人工智能赋能医学影像诊断学课程教学改革的路径研究[J].医药高职教育与现代护理,2025,8(3):185-189,5.基金项目
福建省教育科学"十四五"规划课题(FJJKGZ22-021) （FJJKGZ22-021）
漳州卫生职业学院教学改革研究课题(ZWYJ202406) （ZWYJ202406）
