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机器学习在脊椎外科手术中的应用.

Themistoklis Tragaris1, Ioannis S Benetos2, John Vlamis2

  • 11st Department of Orthopaedic Surgery, National and Kapodistrian University of Athens School of Medicine, KAT Hospital, Athens, GRC.

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|December 4, 2023
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概括
此摘要是机器生成的。

人工智能 (AI) 和机器学习 (ML) 在脊椎外科手术中显示出有前途的潜力,以改善临床决策和手术规划. 这些AI/ML模型表现出很好的准确性,特别是在患者选择和结果预测方面.

关键词:
医疗保健中的人工智能和机器人人工智能的人工智能是人工智能.改善医疗保健的改善机器学习是机器学习.患者报告的结果.脊柱 脊柱 脊柱 脊柱 脊柱

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科学领域:

  • 脊柱外科手术 脊柱外科手术
  • 医疗信息学 医疗信息学
  • 人工智能的人工智能

背景情况:

  • 人工智能 (AI) 和机器学习 (ML) 在外科领域的整合正在迅速发展.
  • 脊柱手术在临床决策和手术规划方面提出了复杂的挑战,为AI/ML应用提供了潜力.

研究的目的:

  • 识别和评估AI/ML在脊椎外科手术中的当前应用.
  • 评估AI/ML在指导临床决策和手术规划方面的有效性.

主要方法:

  • 在Scopus,PubMed和谷歌学者中进行了系统的文献审查.
  • 通过系统审查和元分析 (PRISMA) 准则的首选报告项目来过研究.
  • 分析了46项符合纳入标准的研究.

主要成果:

  • AI/ML模型的平均准确率为74.9%,在术前患者选择,成本预测和停留时间预测方面表现出色.
  • 性能在预测功能结果和术后死亡率方面也很强.
  • 深度学习/人工神经网络显示出最高的灵敏度 (81.5%),回归分析是最常见的应用.

结论:

  • 在脊椎手术中AI/ML的应用是有希望的,大多数研究是在2018年之后发表的.
  • 随着大数据和人工智能工具的日益普及,临床实践中逐渐采用.
  • 脊椎外科医生应该了解AI/ML原则,以提高患者的护理.