The integration of artificial intelligence (AI) into healthcare is accelerating, yet medical education has not kept pace with these technological advancements. This paper synthesizes current knowledge on AI in medical education through a comprehensive analysis of the literature, identifying key competencies, curricular approaches, and implementation strategies. The aim is highlighting the critical need for structured AI education across the medical learning continuum and offer a framework for curriculum development. The findings presented suggest that effective AI education requires longitudinal integration throughout medical training, interdisciplinary collaboration, and balanced attention to both technical fundamentals and clinical applications. This paper serves as a foundation for medical educators seeking to prepare future physicians for an AI-enhanced healthcare environment.

翻译：人工智能（AI）在医疗保健领域的整合正在加速，然而医学教育尚未跟上这些技术进步的步伐。本文通过对文献的全面分析，综合了当前关于人工智能在医学教育中的知识，识别了关键能力、课程方法和实施策略。其目的在于强调在整个医学学习连续体中构建结构化人工智能教育的迫切需求，并为课程开发提供一个框架。所提出的研究结果表明，有效的人工智能教育需要在医学培训过程中进行纵向整合、跨学科合作，并对技术基础和临床应用给予均衡关注。本文为寻求培养未来医生适应人工智能增强型医疗环境的医学教育工作者奠定了基础。