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相关概念视频

Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy01:26

Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy

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Sigmoidoscopy and laparoscopy are distinct medical procedures that enable physicians to internally inspect different parts of the GI tract. Although they serve different purposes, each is essential for diagnosing and, in some cases, treating various medical conditions.
Sigmoidoscopy
Sigmoidoscopy is a diagnostic procedure that uses a flexible sigmoidoscope equipped with a light source and camera to examine the rectum and sigmoid colon. The procedure involves inserting the tube through the anus...
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Clinical Application of Single-Surgeon, Three-Port, Laparoscopic Resection for Colorectal Cancer with Natural Orifice Specimen Extraction
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在腹腔镜西格莫切除术中使用任务分类模型进行自动化外科技能评估.

Keisuke Obuchi1,2, Shin Takenaka3, Daichi Kitaguchi1,3

  • 1Department of Colorectal Surgery, National Cancer Center Hospital East, 6‑5‑1, Kashiwanoha, Kashiwa‑City, Chiba, 277‑8577, Japan.

Surgical endoscopy
|August 8, 2025
PubMed
概括
此摘要是机器生成的。

开发了一种人工智能 (AI) 模型,通过分析剖析和暴露时间来评估腹腔镜结直肠癌手术中的外科技能. 这种人工智能工具有效地根据关键性能指标区分熟练和不那么熟练的外科医生.

关键词:
人工智能的人工智能是人工智能.自动化手术技能的评估.在DEI分类模型中,DEI的分类模型是:laparoscopic sigmoidectomy 拉巴洛斯科比式的西格莫切除术是什么意思

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科学领域:

  • 手术技术 手术技术
  • 人工智能在医学中的应用
  • 外科手术技能的评估.

背景情况:

  • 剖析-暴露时间比率是腹腔镜结肠直肠癌手术中手术效率和熟练程度的关键指标.
  • 对外科技能的客观评估对于改善患者的治疗结果和外科培训至关重要.
  • 目前的手术技能评估方法可能是主观的,耗时的.

研究的目的:

  • 开发和验证人工智能 (AI) 模型,用于自动识别和分析剖析和曝光时间.
  • 探索人工智能驱动的手术视频数据分析对客观的外科技能评估的实用性.
  • 为了将人工智能衍生的参数与腹腔镜半导体切除术中手术能力的既定指标相关联.

主要方法:

  • 来自腹腔镜半导体切除术 (Lap-S) 程序的视频数据集的构建.
  • 根据ESSQS成绩,将外科技能水平分为高 (+2 SD) 和低 (-2 SD) 能力组.
  • 基于卷积神经网络的图像分类模型的开发,以识别和量化剖析 (D),曝光 (E),无效 (I) 和外部时间,计算D/E比率和D-E过渡.

主要成果:

  • 人工智能模型在分类D (0.92),E (0.82) 和I (0.74) 时获得了高F1分数.
  • 在高和低水平组之间的平均D和E时间中观察到显著的差异 (p < .01).
  • 高水平组与低水平组 (405 ± 188 SD;p < .01) 相比,高水平组的平均D-E过渡数量 (204 ± 96 SD) 显着较低.

结论:

  • 一个新的AI模型可以根据"DEI"参数自动分类腹腔镜半径切除视频,有效地区分外科能力.
  • 开发的AI模型显示了增强外科质量评估和改善外科教育的潜力.
  • 对外科视频的客观,人工智能驱动的分析为标准化外科技能评估提供了一个有希望的途径.