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A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
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人工智能在脊椎手术的规划中

Iyad S Ali1, Yianni Bakaes2,3, James S MacLeod2,4

  • 1Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, 259 E Erie St, Chicago, IL, 60611, USA. iyad.ali@northwestern.edu.

Current reviews in musculoskeletal medicine
|August 26, 2025
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 正在为脊椎手术带来革命. 这些技术提高了手术精度,优化了工作流程,并从计划到康复为患者提供了个性化的护理.

关键词:
人工智能机器学习导航系统实时决策支持脊椎手术手术规划

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科学领域:

  • 脊椎手术
  • 人工智能
  • 机器学习

背景情况:

  • 人工智能和机器学习在脊椎手术中的作用正在扩大到手术规划,手术内导航和手术后管理.
  • 人工智能为患者提供特定的策略,以提高手术准确性,降低风险并提高患者的治疗效果.

研究的目的:

  • 审查AI和ML在脊椎外科手术中的作用和影响.
  • 突显人工智能驱动的手术前规划,手术内导航和手术后管理方面的进步.

主要方法:

  • 对人工智能模型,包括神经网络,进行患者选择和结果预测的审查.
  • 用人工智能支持的3D建模进行解剖重建的分析.
  • 评估人工智能驱动的虚拟和增强现实系统在操作内导航.
  • 对实时人工智能决策支持和术后人工智能应用进行风险分层和排放计划的评估.

主要成果:

  • 人工智能模型在手术前的规划中表现出很高的准确性, 优于传统的算法.
  • 机器学习可以加速患者特定的3D解剖结构.
  • 人工智能导航系统提高了螺丝位置的精度,并大大减少了辐射暴露.
  • 人工智能应用减少了手术时间,降低了术后风险,并准确预测不良事件和延长住院时间.

结论:

  • 人工智能技术正在通过提高精度,优化工作流程和个性化护理来改变脊椎手术.
  • 尽管存在数据多样性和伦理方面的挑战,
  • 人工智能提供高效和个性化的解决方案,