摘要
随着人工智能(AI:Artificial Intelligence)技术的不断发展,尤其是在深度学习、图像识别和自然语言处理等领域的突破,AI在医学影像教学中正逐步显示出其独特的优势。为此,对AI在医学影像在教学中的应用现状进行了综合分析。结果表明,AI不仅可以帮助学生和医务人员快速识别疾病特征,还能提供自动化的影像分析结果,使学习者能更直观地了解不同疾病的影像表现,增强了学习的互动性和实践性。并且其还能提供个性化的学习路径,根据学生的学习进度和掌握情况,推荐相关的教学内容或练习,确保学习者得到量身定制的教学服务。同时,其高效性和精准性帮助学生能更好地理解复杂的医学影像内容,从而提高学习效果。随着技术的不断进步,人工智能将在医学影像教学中发挥更大的作用。未来的教学系统可能会更加智能化,结合虚拟现实、增强现实等技术,为学生提供更加沉浸式的学习体验。
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.
作者
包磊
苗政
边琳芳
孙圣博
宫嘉祺
刘文蕴
窦乐
陈忠萍
孟繁杨
滕岩
孙野
纪铁凤
张磊
BAO Lei;MIAO Zheng;BIAN Linfang;SUN Shengbo;GONG Jiaqi;LIU Wenyun;DOU Le;CHEN Zhongping;MENG Fanyang;TENG Yan;SUN Ye;JI Tiefeng;ZHANG Lei(The First Hospital,Jilin University,Changchun 130021,China)
出处
《吉林大学学报(信息科学版)》
2025年第2期412-421,共10页
Journal of Jilin University(Information Science Edition)
基金
交叉学科人才培养模式创新研究与实践基金资助项目(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。
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
artificial intelligence(AI)
medical imaging education
advantages and challenges
application practice
development prospects
作者简介
包磊(2000-),男,山东聊城人,吉林大学第一医院研究生,主要从事乳腺分子影像学研究,(Tel)86-17865572756,(E-mail)1454679656@qq.com;通讯作者:纪铁凤(1978-),女,长春人,吉林大学第一医院副主任医师,副教授,硕士生导师,主要从事乳腺疾病影像组学研究,(Tel)86-13804332730,(E-mail)pygcnm@jlu.edu.cn;通讯作者:张磊(1981-),女,长春人,吉林大学主治医师,主要从事人工智能和医学教育研究,(Tel)86-15804300150,(E-mail)zlei99@jlu.edu.cn。
