一个基于人工智能的新型系统,用于在食管胃管腺镜检查期间的质量监测:一个多中心随机对照研究
Shengsen Chen1,2, Yandong Li1, Huogen Wang3
1Department of Endoscopy, Zhejiang Cancer Hospital, Hangzhou, China.
一个新的人工智能工具,内镜质量控制助手 (EQCA),在食管胃管腺镜术 (EGD) 过程中显著改善了检测上部胃肠道 (UGI) 癌症和癌前病变的检测. 这种人工智能系统增强了实时质量监测,以获得更好的患者结果.
科学领域:
- 胃肠病学 胃肠病学
- 医疗人工智能 医疗人工智能
- 内镜技术的使用方法
背景情况:
- 消化管胃管腺镜 (EGD) 对于诊断上部胃肠道 (UGI) 病变至关重要.
- 内镜师表现的变化会影响UGI癌症和前体病变的检测率.
- 需要改善EGD的质量监测系统.
研究的目的:
- 开发和评估一种新的EGD质量监测系统,即内镜质量控制助理 (EQCA).
- 评估EQCA在提高UGI癌症相关病变和癌症检测率方面的有效性.
主要方法:
- EQCA是使用深层卷积神经网络和长期短期记忆来开发的.
- 一项随机对照研究在七家医院招募了32 017名接受EGD治疗的患者.
- 患者被随机分配到EQCA辅助组或对照组;主要结果是癌症相关病变和癌症的检测率.
主要成果:
- 与对照组 (P < 0.001) 相比,EQCA组显示UGI癌症相关病变 (8.00%对5.55%) 和癌症 (1.93%对1.21%) 的检测率明显更高.
- EQCA组取得了更高的运行得分和更长的检查时间,这表明检查质量有所改善.
- 检测率与操作得分和检查时间有很强的相关性.
结论:
- 在EGD过程中,EQCA系统显著提高了UGI癌症和癌前病变的检测.
- 这种新型的人工智能工具可以作为EGD程序的有效实时质量监测系统.
- EQCA有可能提高诊断的准确性,并改善患者在上部胃肠道检查的结果.
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