摘要
人工智能(Artificial Intelligence,AI)技术在医疗领域受到广泛应用,在医学教育中亦备受关注,已成为国内外探讨的热点问题。AI技术为医学影像技术教育改革注入了新的内容和活力,基于强大的数据处理能力和深度学习能力,AI技术的应用使得教学内容的呈现更加生动、直观,有助于提高学生的学习兴趣,提高医学影像技术教学的效率和质量,这也为医学影像技术专业人才的培养提供了新的途径,有望培养出更多具备国际视野、创新能力和实践技能的医学影像技术人才。同时,也应关注技术发展带来的潜在问题,包括数据隐私、伦理道德等问题,确保AI技术在医学教育中的健康发展。本文基于AI在医学影像技术教学中的应用现状,探讨技术应用前景、优势以及挑战。
Artificial intelligence(AI)technology is widely used in the medical field,and attracts much attention in medical education,which has become a hot issue at home and abroad.AI technology has injected new content and vitality into the reform of medical imaging technology education.Based on the powerful data processing ability and deep learning ability,the application of AI technology makes the presentation of teaching content more vivid and intuitive,which can help to increase students'interest in learning and improve the efficiency and quality of medical imaging technology teaching.It also provides a new way for the cultivation of medical imaging technology professionals,and is expected to cultivate more medical imaging technology talents with international vision,innovative ability and practical skills,and at the same time,we should pay attention to the potential problems brought by the development of the technology,including data privacy,ethics and morality,etc.,to ensure the healthy development of AI technology in medical education.Based on the current application of AI in medical imaging technology teaching,this paper discusses the prospects,advantages,and challenges of the application of the technology.
作者
周建国
胡方云
孙振虎
徐敏
李旋旋
ZHOU Jianguo;HU Fangyun;SUN Zhenhu;XU Min;LI Xuanxuan(Department of Imaging,Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine,Lianyungang 222004,Jiangsu,China;Department of Science and Education,Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine,Lianyungang 222004,Jiangsu,China)
出处
《中国卫生产业》
2024年第5期123-125,129,共4页
China Health Industry
基金
南京中医药大学2022年度校本科教育教学改革研究课题(NZYJG2022177)
南京医科大学康达学院2023年度教育研究课题(KDJYYJYB202328)。
关键词
人工智能
医学影像技术
教学应用
人才培养
Artificial intelligence
Medical imaging technology
Teaching application
Talent cultivation