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Updated: Jun 18, 2025

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在腹腔镜胆囊切除术中基于深度学习的手术阶段识别.

Hye Yeon Yang1, Seung Soo Hong2, Jihun Yoon3

  • 1Department of Liver Transplantation and Hepatobiliary and Pancreatic Surgery, Ajou University School of Medicine, Suwon, Korea.

Annals of hepato-biliary-pancreatic surgery
|July 28, 2024
PubMed
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一个新的人工智能 (AI) 模型准确地识别了腹腔镜胆囊切除视频中的手术阶段. 这种人工智能工具增强了手术流程分析和最小侵入性手术中的绩效评估.

科学领域:

  • 医学技术 医学技术 医学技术
  • 在手术中使用人工智能.
  • 外科手术工作流程分析

背景情况:

  • 人工智能 (AI) 越来越多地用于手术评估和绩效评估.
  • 从视频中自动化手术工作流分析对于有效的手术评估至关重要.
  • 微创手术依赖于客观的绩效指标.

研究的目的:

  • 设计一个深度学习模型,用于在腹腔镜胆囊切除术中自动识别手术阶段.
  • 评估人工智能模型在识别不同手术阶段的准确性.
  • 评估AI在客观外科性能评估中的潜力.

主要方法:

  • 使用了160个腹腔镜胆囊切除视频 (Cholec80和机构数据) 的综合数据集.
  • 将数据分成训练和测试集,以2:1的比例用于AI模型开发.
  • 在没有预处理或后处理的情况下评估模型性能,以隔离AI的影响.

主要成果:

  • 人工智能模型在98,234个测试上实现了91.2%的整体准确性.
  • 在卡洛特三角解剖中观察到最高的精度 (F1得分:0.9421).
  • 剪切和切割阶段的识别是最不准确的 (F1得分:0.7761).
关键词:
人工智能的人工智能是人工智能.计算机终端 计算机终端laparoscopic 胆囊切除术是用拉皮镜进行的.模式识别,自动化的模式识别.手术手术,手术手术,手术手术,手术手术

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结论:

  • 开发的AI模型在腹腔镜胆囊切除术期间识别手术阶段时表现出高准确度.
  • 这项技术对客观和自动化手术绩效评估具有前景.
  • 进一步精细化可以提高特定外科手术子任务的准确性.