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人工智能生成内容在医学教育中的应用、挑战与展望

Application, Challenges, and Prospects of Artificial Intelligence Generated Content in Medical Education
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摘要 随着以ChatGPT为代表的生成式人工智能技术的兴起,人工智能生成内容(AIGC)对医学教育的理论教学、实践教学、测量评估等方面均产生了推动作用。作为医学教育创新发展中的重要一环,AIGC的应用、挑战与未来发展值得关注。为推进新医科建设,更好地将AIGC融入我国医学教育,汇总AIGC在国内外医学教育中的创新应用,为我国医学教育提供借鉴,并进一步探讨AIGC的应用风险与伦理挑战,提出AIGC在医学教育中的三个先进案例,探讨AIGC相关技术如何运用于不同阶段的医学教育,进而促进AIGC技术对我国医学教育的赋能作用。最后,展望检索增强生成、多智能体、 Sora等AIGC相关技术在未来医学教育中的运用可能,基于此提出以下启示:AIGC作为新质生产力的代表,在医学教育中的应用前景广阔,但其发展和应用需要综合考虑技术可行性、伦理标准、社会接受度、法律法规、教育效果等多维度的因素。医学教育界既应积极把握AIGC技术所带来的机遇,也要做好准备以充分应对其挑战,以此来最大化AIGC对医学教育的价值和效果。 With the emergence of generative artificial intelligence technologies represented by ChatGPT,Artificial Intelligence Generated Content(AIGC)has significantly propelled theoretical instruction,practical training,and assessment in medical education.As a pivotal component of innovative medical education development,the application,challenges,and future prospects of AIGC warrant meticulous attention.To advance the construction of new medical disciplines and effectively integrate AIGC into China’s medical education framework,it is essential to synthesize innovative applications of AIGC in both domestic and international medical education contexts,thereby furnishing instructive lessons for enhancing our educational practices.Furthermore,delving into the ethical challenges and application risks associated with AIGC,this paper presents three avant-garde case studies illustrating how AIGC technologies are being employed across various stages of medical education,thereby empowering the educational process.Looking ahead,the potential utilization of AIGC-related technologies such as retrieval-augmented generation,multi-agent systems,and Sora in future medical education underscores the need for anticipation.These considerations give rise to the following insights:As a representative of novel productive forces,AIGC holds immense promise for application within medical education,yet its development and implementation necessitate a comprehensive evaluation of multiple dimensions,including technical feasibility,ethical norms,societal receptiveness,legal frameworks,and pedagogical outcomes.The medical education community must not only seize the opportunities presented by AIGC technologies,but also prepare diligently to address the attendant challenges,thereby optimizing the value and efficacy of AIGC in enhancing medical education.
作者 江哲涵 奉世聪 王维民 Zhehan JIANG;Shicong FENG;Weimin WANG(National Center for Healthcare Profession Education Development,Peking University,Beijing 100191;Graduate School of Education,Peking University,Beijing 100871)
出处 《中国教育信息化》 2024年第8期29-40,共12页 Chinese Journal of ICT in Education
基金 2022年国家卫生健康委员会—国家医学考试中心“十四五”改革重点项目“临床执业医师资格考试准入标准与内容设计”(编号:NMEC2022001) 2022年国家自然科学基金青年项目“基于贝叶斯法的国家级考试成本—效果分析及优化:以执业医师资格考试的改革为例”(编号:72104006)。
关键词 AIGC 医学教育 GPT 大语言模型 数字化 卫生健康事业 AIGC Medical education GPT Large language model Digitalization Healthcare

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