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A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
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机器人手术中的标准化时间分割框架和注释资源库

Busisiwe Mlambo1, Mallory Shields1, Simon Bach2

  • 1Advanced Research and Analytics, Intuitive Surgical, Sunnyvale, CA.

Mayo Clinic proceedings. Digital health
|October 6, 2025
PubMed
概括

这项研究引入了第一个临床时间注释指南库和机器人手术的本体学框架. 这种标准化的方法使得手术视频分析得以一致,并促进了全球手术实践的进步.

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科学领域:

  • 机器人手术 机器人手术
  • 手术视频分析手术视频分析
  • 医疗信息学 医疗信息学

背景情况:

  • 手术视频的标准化时间注释对于比较手术见解和识别最佳实践至关重要.
  • 现有的实体学缺乏适用于临床环境的可扩展性.
  • 开发了一个新的时间注释框架,嵌套了手术阶段,步骤,任务和子任务.

研究的目的:

  • 开发和共享第一个临床时间注释指南库,用于10种机器人手术.
  • 为手术视频注释建立一个标准化的本体学框架.
  • 为了在机器人手术中实现一致的注释和大规模的数据比较.

主要方法:

  • 在7年的时间里 (2018-2025年) 代创建程序特定的注释指南.
  • 与外科医生和行业科学家的全球研究合作.
  • 开发一个时间注释框架,嵌套手术阶段,步骤,任务和子任务.

主要成果:

  • 为10个常见的机器人程序创建了一个注释指南库,与时间注释框架相一致.
  • 该框架可为临床医生提供一致的注释,并进行大规模数据比较.
  • 全球已有超过13,000个手术病例被注释,证明了可重现性和广泛适用性.

结论:

  • 资源库和本体结构框架为机器人外科手术中标准化的时间细分提供了结构.
  • 该框架支持各种应用,包括绩效指标,教育,工作流分析和AI开发.
  • 采用这些资源将统一努力,推进外科手术实践.