Kim Suyoun, Kim Su Hyun, Kim Hansea, Lee Young-Mee
Department of Medical Education, Korea University College of Medicine, Seoul, Korea.
Industry-University Cooperation Foundation, Pukyong National University, Busan, Korea.
Korean J Med Educ. 2025 Mar;37(1):65-70. doi: 10.3946/kjme.2025.324. Epub 2025 Feb 26.
With the accelerated adoption of artificial intelligence (AI) in medicine, the integration of AI education into medical school curricula is gaining significant attention. This study aimed to gather the perceptions of faculty members and students regarding the integration of AI education into medical curricula in the Korean context.
Faculty members and medical students' perspectives on integrating AI into medical curricula were assessed through thematic analysis of free-written responses from 157 faculty members and 125 students in a national online survey on medical AI competencies in South Korea.
Three key themes emerged: content, which prioritizes basic knowledge and its practical applications, with an emphasis on ethical and legal responsibilities; curricular design, which advocates for a spiral curriculum tailored to learners' needs; and concerns, which highlight balancing AI integration with the principal goals of medical education while critically evaluating ongoing advancements.
Our study adds valuable insights into the content and methods to prioritize AI education. Given the rapid evolution of medical learners and AI technologies, continuous and timely needs assessment for AI curriculum development is crucial to maintain relevance and effectiveness.
随着人工智能（AI）在医学领域的加速应用，将人工智能教育融入医学院课程正受到广泛关注。本研究旨在收集韩国教职员工和学生对在韩国背景下将人工智能教育融入医学课程的看法。
通过对韩国一项关于医学人工智能能力的全国在线调查中157名教职员工和125名学生的自由书面回复进行主题分析，评估了教职员工和医学生对将人工智能融入医学课程的看法。
出现了三个关键主题：内容，优先考虑基础知识及其实际应用，强调伦理和法律责任；课程设计，主张根据学习者需求定制螺旋式课程；以及关注点，强调在批判性评估当前进展的同时，平衡人工智能融入与医学教育的主要目标。
我们的研究为优先开展人工智能教育的内容和方法提供了有价值的见解。鉴于医学学习者和人工智能技术的快速发展，对人工智能课程开发进行持续和及时的需求评估对于保持相关性和有效性至关重要。
