本文系统探讨了人工智能（AI）技术在模拟医学培训中的应用现状、优势与挑战。AI通过虚拟患者系统、手术模拟评估、医学影像诊断培训及结构化报告优化四大核心场景,显著提升培训的智能化与个性化水平。研究表明,AI驱动的实时反馈机制（如手术技能评估系统）在随机对照试验中表现优于传统专家指导, 并具备大规模推广潜力, 可降低人力成本。然而,技术仍面临算法透明性、数据隐私伦理及临床转化效果验证等挑战。未来需深化跨学科合作, 结合增强现实（AR）等技术创新, 构建全球资源共享的智能认证体系, 推动医学教育范式转型。

       This review summarizes and discusses the application status, advantages,and challenges of artificial intelligence（AI）technology in simulated medical training．AI significantly enhances the intelligence and personalization of training through four core scenarios：virtual patient systems, surgical simulation assessment, medical imaging diagnosis training, and structured reporting optimization．Researches demonstrates that AI-driven real-time feedback mechanisms（e.g., surgical skill assessment systems）outperform traditional expert guidance in randomized controlled trials（P<0.001）and exhibit potential for large-scale implementation to reduce labor costs．However, challenges remain regarding algorithmic transparency, data privacy ethics, and clinical translation validation．Future efforts require deepened interdisciplinary collaboration, integration with innovations like augmented reality, and the establishment of a globally shared intelligent certification system to advance the transformation of medical education paradigms．