PDF(Pubmed)
Abstract：
Gastrointestinal diseases are increasing in global prevalence. As a result, the contribution to both mortality and healthcare costs is increasing. While interventions utilizing scoping techniques or ultrasound are crucial to both the timely diagnosis and management of illness, a few limitations are associated with these techniques. Artificial intelligence, using computerized diagnoses, deep learning systems, or neural networks, is increasingly being employed in multiple aspects of medicine to improve the characteristics and outcomes of these tools. Therefore, this review aims to discuss applications of artificial intelligence in endoscopy, colonoscopy, and endoscopic ultrasound.
摘要：
胃肠道疾病在全球的患病率正在增加。因此,对死亡率和医疗费用的贡献都在增加.虽然利用范围检查技术或超声的干预措施对疾病的及时诊断和管理至关重要，一些限制与这些技术有关。人工智能,使用计算机化诊断，深度学习系统，或者神经网络，越来越多地应用于医学的多个方面，以改善这些工具的特征和结果。因此,本文旨在讨论人工智能在内窥镜检查中的应用，结肠镜检查,还有超声内镜.
