Pancreaticobiliary diseases can lead to significant morbidity and their diagnoses rely on imaging and endoscopy which are dependent on operator expertise. Artificial intelligence (AI) has seen a rapid uptake in the field of luminal endoscopy, such as polyp detection during colonoscopy. However, its use for pancreaticobiliary endoscopic modalities such as endoscopic ultrasound (EUS) and cholangioscopy remains scarce, with only few studies available. In this review, we delve into the current evidence, benefits, limitations, and future scope of AI technologies in pancreaticobiliary endoscopy.
胰胆疾病可导致显著的发病率,其诊断依赖于影像学和内镜检查,而这些检查又依赖于操作者的专业水平。人工智能在腔内内镜领域,如结肠镜检查中的息肉检测,已得到迅速应用。然而,其在胰胆内镜模式中的应用,如内镜超声和胆道镜检查,仍然较少,仅有少量研究可供参考。本综述深入探讨了人工智能技术在胰胆内镜检查中的现有证据、优势、局限性及未来发展方向。
Impact of Artificial Intelligence on Pancreaticobiliary Endoscopy