This chapter outlines how artificial intelligence (AI) is reshaping surgical simulation training. It begins by tracing the evolution of surgical education from apprenticeship and cadaveric practice to high-fidelity, risk-free simulation. AI-driven technologies—machine learning, computer vision, and haptics—now power immersive VR/AR environments that adapt to each learner, deliver real-time objective feedback, and generate personalised learning pathways. Evidence shows these systems accelerate skill acquisition, heighten trainee confidence, and ultimately reduce operative errors. At the same time, the chapter acknowledges technical, ethical, financial, and regulatory hurdles that must be addressed for equitable global adoption. Looking ahead, deeper neural networks, cloud-based analytics, and convergence with 3-D printing and surgical robotics promise to democratise, standardise, and continually update surgical curricula worldwide. By integrating AI responsibly, surgical educators can cultivate a workforce ready for the complexities of modern, technology-enabled healthcare.

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Artificial Intelligence in Surgical Simulation Training

  • Abdullah Tahir,
  • Anam Jawaid,
  • Aws Al-Omari,
  • Arian Arjomandi Rad,
  • Peyman Sardari Nia

摘要

This chapter outlines how artificial intelligence (AI) is reshaping surgical simulation training. It begins by tracing the evolution of surgical education from apprenticeship and cadaveric practice to high-fidelity, risk-free simulation. AI-driven technologies—machine learning, computer vision, and haptics—now power immersive VR/AR environments that adapt to each learner, deliver real-time objective feedback, and generate personalised learning pathways. Evidence shows these systems accelerate skill acquisition, heighten trainee confidence, and ultimately reduce operative errors. At the same time, the chapter acknowledges technical, ethical, financial, and regulatory hurdles that must be addressed for equitable global adoption. Looking ahead, deeper neural networks, cloud-based analytics, and convergence with 3-D printing and surgical robotics promise to democratise, standardise, and continually update surgical curricula worldwide. By integrating AI responsibly, surgical educators can cultivate a workforce ready for the complexities of modern, technology-enabled healthcare.