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人工智能在医学影像教学中的应用

包磊 滕岩 孙野 纪铁凤 张磊 苗政 边琳芳 孙圣博 宫嘉祺 刘文蕴 窦乐 陈忠萍 孟繁杨

吉林大学学报(信息科学版)2025,Vol.43Issue(2):412-421,10.
吉林大学学报(信息科学版)2025,Vol.43Issue(2):412-421,10.

人工智能在医学影像教学中的应用

Application of Artificial Intelligence in Medical Imaging Teaching

包磊 1滕岩 1孙野 1纪铁凤 1张磊 1苗政 1边琳芳 1孙圣博 1宫嘉祺 1刘文蕴 1窦乐 1陈忠萍 1孟繁杨1

作者信息

  • 1. 吉林大学第一医院,长春 130021
  • 折叠

摘要

Abstract

AI(Artificial Intelligence)plays an important role in medical imaging education,driving innovation in teaching methods and medical education.With the continuous development of AI technology,especially breakthroughs in deep learning,image recognition,and natural language processing,AI is gradually demonstrating its unique advantages in the field of medical imaging education.AI helps students and healthcare professionals quickly identify disease features,and provides automated image analysis results,allowing learners to intuitively understand the imaging manifestations of different diseases.It enhances the interactivity and practicality of learning.AI can offer personalized learning paths recommending relevant educational content or exercises based on the student's progress and understanding,ensuring that learners receive tailored educational services.The efficiency and accuracy of AI assist students in better comprehending complex medical imaging content improving learning outcomes.However,AI in medical imaging education also faces certain challenges.As technology continues to advance,AI will play a more significant role in medical imaging education.Future educational systems are likely to become more intelligent,integrating technologies such as virtual reality and augmented reality to provide students with a more immersive learning experience.

关键词

人工智能/医学影像教学/优势与挑战/应用实践/发展前景

Key words

artificial intelligence(AI)/medical imaging education/advantages and challenges/application practice/development prospects

分类

计算机与自动化

引用本文复制引用

包磊,滕岩,孙野,纪铁凤,张磊,苗政,边琳芳,孙圣博,宫嘉祺,刘文蕴,窦乐,陈忠萍,孟繁杨..人工智能在医学影像教学中的应用[J].吉林大学学报(信息科学版),2025,43(2):412-421,10.

基金项目

交叉学科人才培养模式创新研究与实践基金资助项目(2023JGZ026) (2023JGZ026)

医工交叉影像拔尖人才培养模式建立与实践基金资助项目 ()

吉林大学学报(信息科学版)

1671-5896

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