在炎症性肠病中的囊内镜:泛肠囊内镜和人工智能的应用
Offir Ukashi1,2,3, Shelly Soffer4,5,6, Eyal Klang2,4,7
1Gastroenterology Institute, Sheba Medical Center, Tel Hashomer, Israel.
视频囊内镜 (VCE) 通过可视化整个胃肠道来帮助克罗恩病 (CD) 管理. 人工智能提高了VCE在诊断CD病变的准确性和效率,可能改善患者的治疗结果.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 视频囊内镜 (VCE) 是有效的诊断小肠炎症在克罗恩氏病 (CD).
- 全肠囊 (PillCam 克罗恩系统) 允许在单次手术中评估整个小肠和大肠.
- 人工智能,特别是人工神经网络,在分析胃肠道病理的VCE图像方面表现有前途.
研究的目的:
- 审查VCE和AI在诊断和管理克罗恩病中的作用.
- 为了突出泛肠囊内镜对CD患者的好处.
- 讨论AI在提高VCE阅读效率和IBD诊断准确度方面的潜力.
主要方法:
- 对VCE和AI在炎症性肠病 (IBD) 中的应用现有文献的综述.
- 讨论全肠道囊对于综合性胃肠道可视化的功能.
- 对人工智能算法的分析,包括神经网络,用于检测和分类VCE中的CD病变.
主要成果:
- VCE精确诊断小肠炎症,并预测CD患者的爆发.
- 泛肠VCE提供了一个可行的,整个肠道的单一程序评估.
- 人工智能模型在检测IBD病变方面具有很高的准确性,并且可以减少VCE读取时间.
结论:
- 全肠道VCE与人工智能相结合,对优化克罗恩病管理具有重大前景.
- 人工智能可以提高诊断准确度,减少阅读时间,并可能最大限度地减少CD的VCE中错过的诊断.
- 需要进一步的前性,现实世界的研究来验证在常规IBD实践中的AI应用.
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