人工智能算法和结肠囊内镜阅读器之间关于肠道清洁质量的观察者间协议
Benedicte Schelde-Olesen1,2, Jürgen Herp3,4, Jan-Matthias Braun3,4
1Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
iGIE : innovation, investigation and insights
|February 6, 2026
概括
一个人工智能算法 (AIA) 与经验丰富的读者在评估结肠囊内镜 (CCE) 肠道清洁质量方面表现出最小的一致性. 目前的AIA评分方法,如平均值或百分位数,不适合报告CCE清洗结果.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 适当的结肠清洁对于结肠囊内镜 (CCE) 的有效性至关重要.
- 关于CCE肠道清洁质量的观察者间协议是不一致的.
- 开发了一种人工智能算法 (AIA) 来客观评估肠道清洁质量.
研究的目的:
- 评估经验丰富的CCE读者和AIA在评估肠道清洁质量的过程中之间的观察者间协议.
- 为了确定整体肠道清洁质量的百分位是否适合报告AIA结果.
主要方法:
- 肠道清洁质量使用2分和4分尺度对842项CCE调查进行了评分.
- 经验丰富的读者和AIA评估了整个结肠和特定的部分.
- 使用科恩的卡帕评估了协议,AIA得分基于平均值,中位数,四分之一和百分点.
主要成果:
- 对于整体和细分肠道清洁质量,CCE读者和AIA之间几乎没有观察者间的协议.
- 这种缺乏一致性在2分和4分分级别表中持续存在.
- 无论使用何种评分门,AIA的业绩都不一致.
结论:
- 人类读者和开发的AIA之间在评估CCE肠道清洁质量方面达成的协议是最小的.
- 目前的AIA分级方法,包括平均分数或百分比,不适合在CCE中报告肠道清洁质量.
- 人工智能工具需要进一步开发,以可靠地评估CCE肠道准备.
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