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<p>Conventional medical education faces resource constraints, including limited access to cadavers, difficulties in safely replicating high-risk scenarios, and uneven distribution of training opportunities. Virtual and augmented reality technologies address these issues by providing immersive, interactive simulations that replicate medical environments with high fidelity. Through 3D modeling, real-time rendering, and multisensory feedback, these platforms allow trainees to practice complex procedures risk-free, enhancing skill development and decision-making. Innovations in AI-driven content generation, adaptive learning, and edge computing further improve scalability and effectiveness. By overcoming physical barriers, VR/AR democratizes access to specialized training, reshaping medical education for improved skill acquisition, knowledge retention, and global collaboration.</p>

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Virtual and augmented reality techniques for medical education: a review of AI and visual computing innovations

  • 期刊论文

  • 发表日期：

    2025年12月16日

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  • Zihao Zou,
  • Jiale Yang,
  • Yueyuan Xu,
  • Lifeng Chen,
  • Dian Zeng,
  • Hange Li,
  • Yiming Qin

摘要

Conventional medical education faces resource constraints, including limited access to cadavers, difficulties in safely replicating high-risk scenarios, and uneven distribution of training opportunities. Virtual and augmented reality technologies address these issues by providing immersive, interactive simulations that replicate medical environments with high fidelity. Through 3D modeling, real-time rendering, and multisensory feedback, these platforms allow trainees to practice complex procedures risk-free, enhancing skill development and decision-making. Innovations in AI-driven content generation, adaptive learning, and edge computing further improve scalability and effectiveness. By overcoming physical barriers, VR/AR democratizes access to specialized training, reshaping medical education for improved skill acquisition, knowledge retention, and global collaboration.