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相关概念视频

Assessment of the Rectum and Anus01:25

Assessment of the Rectum and Anus

158
Evaluating the rectum and anus plays a crucial role in conducting a thorough physical examination of the gastrointestinal system. Although it may be uncomfortable and often embarrassing for the patient, it holds immense diagnostic value, particularly in detecting gastrointestinal diseases and abnormalities. This guide will explain how to perform this assessment using inspection and palpation methods.
Rectal Inspection
Begin by inspecting the perianal and anal areas for color, texture, rashes,...
158
Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

79
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
79
Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation01:30

Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation

142
Irritable Bowel Syndrome II: Clinical Features and Diagnostic Evaluation
Irritable Bowel Syndrome (IBS) is classified into subtypes based on the predominant bowel habits as determined by the Bristol Stool Form Scale (BSFS). The subtypes are:
142

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相关实验视频

Updated: Jun 7, 2025

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开发和验证开源自动肠道制备规模的开发和验证.

Kristoffer Mazanti Cold1, Amihai Heen2, Anishan Vamadevan2

  • 1Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Gastrointestinal endoscopy
|November 18, 2024
PubMed
概括

一个新的AI工具,开源自动肠道准备量表 (OSABPS),准确评估结肠镜准备质量. 这种由人工智能驱动的尺度与多检测率相关,改善了腺瘤检测和患者护理.

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相关实验视频

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科学领域:

  • 胃肠病学 胃肠病学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 肠道准备不足是结肠镜检查期间遗漏腺瘤的主要原因之一.
  • 波士顿肠道准备量表 (BBPS) 有局限性,与腺瘤检测率没有相关性.

研究的目的:

  • 使用人工智能开发一个开源的自动肠道制备量表 (OSABPS).
  • 创建一个人工智能工具,与多检测率相关联,以提高结肠镜质量.

主要方法:

  • 在50,000张结肠镜镜像上训练了OSABPS算法,使用便比率 (F/M) 来量化便.
  • 在内部对1405次结肠镜检查和外部对5525张来自公共数据库的进行了OSABPS的验证.
  • 利用Youden J统计数据来确定OSABPS的最佳值.

主要成果:

  • 在内部 (r = -0.42) 和外部 (r = -0.70) 验证期间,OSABPS与BBPS显示出显著的相关性.
  • 通过使用Youden J.确定了OSABPS的0.09值.
  • 在OSABPS低于值的结肠镜检测显示了显著更高的聚检测率.

结论:

  • 该OSABPS提供了自动,即时和公正的肠道准备质量的评估.
  • 具有OSABPS分数>0.09的结肠镜需要重新检查.
  • OSABPS的开源性质促进了广泛的实施和可访问性.