人工智能辅助上胃肠内镜用于新生体检测的有效性:随机对照试验的系统审查和元分析
Mohammad Al Hayek1, Brigida Barberio2, Osamah Al Hayek1
1Faculty of Medicine, Damascus University, Damascus, Syrian Arab Republic.
Gastrointestinal endoscopy
|February 11, 2026
概括
与传统内镜相比,人工智能辅助内镜 (AI-EGD) 显著改善了上部胃肠 (UGI) 瘤的检测. AI-EGD特别有望用于识别较小的病变和各种瘤亚型.
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:
- 消化管胃管腺镜 (EGD) 是诊断上部胃肠 (UGI) 病变的标准.
- 人工智能辅助EGD (AI-EGD) 与传统EGD (Co-EGD) 的诊断性能需要全面评估.
研究的目的:
- 将AI-EGD的诊断性能与UGI瘤检测的Co-EGD相比进行元分析.
- 评估AI-EGD在不同损伤大小和组织学类型的有效性.
主要方法:
- 随机对照试验 (RCT) 的系统审查,比较AI-EGD和Co-EGD.
- 使用随机效应模型,对每位患者和每次病变的瘤检测率 (NDR) 的聚合分析.
- 结果按病变大小 (≤10毫米和>10毫米) 和组织学分类 (LGIN,HGIN,癌瘤) 分层.
主要成果:
- 人工智能-EGD显示每位患者的NDR显著更高 (RR: 1.57) 和每次病变 (RR: 1.55).
- 对于≤10毫米的病变,AI-EGD的益处更为明显 (RR:2.24),对较大的病变的比率相似.
- AI-EGD改善了低度内皮质瘤 (LGIN),高度内皮质瘤 (HGIN) 和癌症的检测率.
结论:
- 在检测UGI瘤方面,AI-EGD表现出比Co-EGD更好的诊断性能.
- AI-EGD对较小病变和LGIN的增强检测表明其具有显著的临床实用性.
- 需要进一步的研究来评估AI在不同的内镜经验水平的影响.
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