An Overview of Generative Artificial Intelligence in Medical Education.

Shilu Wang, Rongqing Geng, Rongguang Xu
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Abstract

The application of generative artificial intelligence (GAI) in medical education and practice has garnered increasing attention, particularly its significant potential to enhance personalised learning and clinical training. This viewpoint explores the integration of GAI into medical education, analysing its advantages in disseminating medical knowledge, simulating case scenarios, and supporting clinical decision-making. Although GAI introduces innovative opportunities to medical education, its practical application also presents various challenges, such as model accuracy and ethical concerns. The viewpoint further discusses the potential impact of these challenges on the future of medical education and offers corresponding strategies and recommendations, providing valuable insights for educators and policymakers. By understanding the practical applications and limitations of GAI in the medical field, this viewpoint aims to lay a foundation for more effective use of GAI in medical education in the future. Key Words: Generative artificial intelligence, Large language model, Medical education.

生成式人工智能在医学教育中的应用综述
生成式人工智能(GAI)在医学教育和实践中的应用已经引起了越来越多的关注,特别是它在增强个性化学习和临床培训方面的巨大潜力。这一观点探讨了GAI与医学教育的整合,分析了GAI在传播医学知识、模拟病例情景和支持临床决策方面的优势。尽管GAI为医学教育带来了创新机会,但其实际应用也提出了各种挑战,如模型准确性和伦理问题。该观点进一步讨论了这些挑战对未来医学教育的潜在影响,并提出了相应的战略和建议,为教育工作者和政策制定者提供了宝贵的见解。通过了解GAI在医学领域的实际应用和局限性,为今后在医学教育中更有效地运用GAI奠定基础。关键词:生成式人工智能,大语言模型,医学教育
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