疑似克罗恩病患者全肠道囊内镜的人工智能辅助分析:对诊断性能的研究
Jacob Broder Brodersen1,2, Michael Dam Jensen2,3, Romain Leenhardt4,5
1Department of Internal Medicine, Section of Gastroenterology, Hospital of South West Jutland, Esbjerg, Denmark.
人工智能 (AI) 显著减少了疑似克罗恩病的全肠囊内镜 (PCE) 审查时间,保持了炎症性肠病检测的高诊断准确性.
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:
- 全肠囊内镜 (PCE) 对于病理检测是敏感的,但需要大量的时间.
- 人工智能 (AI) 具有加速PCE分析的潜力.
- 这项研究评估了可疑克罗恩病 (CD) 的AI辅助PCE审查.
研究的目的:
- 评估人工智能辅助和标准PCE评估之间的一致性.
- 为了确定人工智能辅助PCE对克罗恩病和炎性肠病 (IBD) 的诊断准确度.
主要方法:
- 一项前性,盲目的多中心研究分析了131名疑似患有CD的PCE患者.
- AXARO® AI 深度学习解决方案处理了PCE图像.
- 两名观察员对PCE进行了分类,完整的读数作为参考标准.
主要成果:
- 人工智能将PCE输出减少到470张图像的中位数 (2.1%),将审查时间减少到每位患者的3.2分钟.
- 观察者对CD检测的敏感度为96%/92%,特异性为93%/90%.
- 观察者对IBD检测的敏感度为97%,特异性为91%/90%.
结论:
- 该AXARO®框架大大减少了PCE审查时间.
- 维持了高诊断准确度,这表明人工智能是快速排除IBD在疑似CD病例中的工具.
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