人工智能辅助囊内镜用于检测克罗恩病中的和侵蚀:一个多中心验证研究
Patrícia Andrade1, Miguel Mascarenhas1, Francisco Mendes1
1Department of Gastroenterology, São João University Hospital, Porto, Portugal.
人工智能 (AI) 显著改善了小肠囊内镜 (SBCE) 对和侵蚀的解释. 与标准方法相比,人工智能辅助阅读增强了病变检测,减少了报告时间.
科学领域:
- 胃肠病学和医学成像学
- 人工智能在医学中的应用
- 诊断技术 诊断技术 诊断技术
背景情况:
- 小肠囊内镜 (SBCE) 的解释是耗时且可变的.
- 人工智能 (AI) 为更快,更准确的病变检测提供了一个潜在的解决方案.
- 在不同的SBCE设备上验证AI模型对于临床采用至关重要.
研究的目的:
- 验证人工智能 (AI) 模型用于检测小肠囊内镜 (SBCE) 中的和侵蚀.
- 将人工智能辅助阅读与标准护理 (SoC) 阅读的诊断性能进行比较.
- 评估AI对SBCE解释时间的影响.
主要方法:
- 一个多中心的,横截面的队列研究,涉及259个SBCE考试来自欧洲和美国.
- 使用了两个SBCE设备:PillCamSB3和奥林巴斯EC-10.
- 将AI辅助阅读 (深度学习模型) 与SoC阅读与独立审查委员会的参考标准进行比较.
主要成果:
- 与SoC相比,人工智能辅助读取显示出更高的检测收益率 (P < .001).
- 人工智能发现了专家审查发现的病变的94.7%.
- 平均人工智能辅助SBCE报告时间显著减少,每次考试为172秒.
结论:
- 人工智能辅助的SBCE读数为和侵蚀提供了卓越的诊断性能.
- 人工智能显著减少了SBCE解释所需的时间.
- 人工智能具有改造潜力,可以提高SBCE诊断效率和准确性.
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