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The future surgical training paradigm: Virtual reality and machine learning in surgical education

机译:未来外科培训范式:虚拟现实与机器学习在外科教育

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摘要

Surgical training has undergone substantial change in the last few decades. As technology and patient complexity continues to increase, demands for novel approaches to ensure competency have arisen. Virtual reality systems augmented with machine learning represents one such approach. The ability to offer on demand training, integrate checklists, and provide personalized, surgeon-specific feedback is paving the way to a new era of surgical training. Machine learning algorithms that improve over time as they acquire more data will continue to refine the education they provide. Further, fully immersive simulated environments coupled with machine learning analytics provide real-world training opportunities in a safe atmosphere away from the potential to harm patients. Careful implementation of these technologies has the potential to increase access and improve quality of surgical training and patient care and are poised to change the landscape of current surgical training. Herein, we describe the current state of virtual reality coupled with machine learning for surgical training, future directions, and existing limitations of this technology.
机译:None

著录项

  • 来源
    《Surgery》 |2021年第5期|共3页
  • 作者单位

    Univ S Florida Morsani Coll Med Dept Gen Surg OnetoMAP Data Analyt &

    Machine Learning Tampa FL;

    Univ S Florida Morsani Coll Med Dept Gen Surg OnetoMAP Data Analyt &

    Machine Learning Tampa FL;

    Univ S Florida Morsani Coll Med Dept Gen Surg OnetoMAP Data Analyt &

    Machine Learning Tampa FL;

    Univ S Florida Morsani Coll Med Dept Gen Surg OnetoMAP Data Analyt &

    Machine Learning Tampa FL;

    Univ S Florida Morsani Coll Med Dept Gen Surg OnetoMAP Data Analyt &

    Machine Learning Tampa FL;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 外科学;
  • 关键词

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