Khakpaki Aliasghar
Faculty of Nursing and Midwifery Tabriz University of Medical Sciences, Tabriz, Iran.
Med Educ Online. 2025 Dec;30(1):2542807. doi: 10.1080/10872981.2025.2542807. Epub 2025 Aug 12.
Artificial intelligence (AI) is revolutionizing medical education by introducing innovative tools and reshaping traditional teaching and learning methods. AI technologies such as virtual and augmented reality, adaptive learning platforms, and AI-driven assessments are increasingly recognized for their potential to enhance diagnostic precision, clinical decision-making, and personalized learning experiences.
This narrative review explores the current trends, challenges, and innovations associated with the integration of AI in medical education. It aims to critically examine how AI transforms teaching and learning processes while addressing ethical concerns and practical barriers.
We performed a systematic literature search across three major databases (PubMed, Scopus, and Web of Science) for publications dated 2010-2024. Our search strategy employed key terms including 'artificial intelligence,' 'medical education,' and 'AI-based learning platforms' to identify relevant peer-reviewed articles, review papers, and case studies. After screening and selection, 67 studies met our inclusion criteria for final analysis.
AII technologies improve learning outcomes by creating personalized, immersive, and interactive environments. They support clinical decision-making and procedural skills training while addressing diverse learner needs. However, ethical issues like data privacy, algorithmic biases, and equitable access, coupled with challenges like faculty resistance and technological infrastructure gaps, limit broader adoption.
AI is an important tool in medical education, offering significant opportunities to enhance learning outcomes and bridge educational gaps. However, its successful integration requires ethical frameworks, faculty training, and equitable resource allocation. A balanced approach that combines technological innovation with human-centered pedagogy is essential to preserve empathy and ethical care in healthcare.
人工智能（AI）正在通过引入创新工具和重塑传统教学方法来彻底改变医学教育。虚拟现实和增强现实、自适应学习平台以及人工智能驱动的评估等人工智能技术因其在提高诊断准确性、临床决策和个性化学习体验方面的潜力而日益受到认可。
本叙述性综述探讨了与人工智能融入医学教育相关的当前趋势、挑战和创新。它旨在批判性地审视人工智能如何改变教学过程，同时解决伦理问题和实际障碍。
我们在三个主要数据库（PubMed、Scopus和Web of Science）中对2010 - 2024年发表的文献进行了系统检索。我们的检索策略使用了包括“人工智能”“医学教育”和“基于人工智能的学习平台”等关键词，以识别相关的同行评审文章、综述论文和案例研究。经过筛选和选择，67项研究符合我们的纳入标准进行最终分析。
所有人工智能技术通过创建个性化、沉浸式和交互式环境来提高学习成果。它们支持临床决策和程序技能培训，同时满足不同学习者的需求。然而，数据隐私、算法偏差和公平获取等伦理问题，以及教师抵制和技术基础设施差距等挑战，限制了其更广泛的应用。
人工智能是医学教育中的一项重要工具，为提高学习成果和弥合教育差距提供了重大机遇。然而，其成功整合需要伦理框架、教师培训和公平的资源分配。将技术创新与以人为本的教学法相结合的平衡方法对于在医疗保健中保持同理心和道德关怀至关重要。
