Yang Young Joo
Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Institute for Liver and Digestive Diseases, Hallym University, Chuncheon, Korea.
Clin Endosc. 2020 Jul;53(4):387-394. doi: 10.5946/ce.2020.133. Epub 2020 Jul 16.
Capsule endoscopy has revolutionized the management of small-bowel diseases owing to its convenience and noninvasiveness. Capsule endoscopy is a common method for the evaluation of obscure gastrointestinal bleeding, Crohn's disease, small-bowel tumors, and polyposis syndrome. However, the laborious reading process, oversight of small-bowel lesions, and lack of locomotion are major obstacles to expanding its application. Along with recent advances in artificial intelligence, several studies have reported the promising performance of convolutional neural network systems for the diagnosis of various small-bowel lesions including erosion/ulcers, angioectasias, polyps, and bleeding lesions, which have reduced the time needed for capsule endoscopy interpretation. Furthermore, colon capsule endoscopy and capsule endoscopy locomotion driven by magnetic force have been investigated for clinical application, and various capsule endoscopy prototypes for active locomotion, biopsy, or therapeutic approaches have been introduced. In this review, we will discuss the recent advancements in artificial intelligence in the field of capsule endoscopy, as well as studies on other technological improvements in capsule endoscopy.
胶囊内镜因其便利性和非侵入性，彻底改变了小肠疾病的管理方式。胶囊内镜是评估不明原因胃肠道出血、克罗恩病、小肠肿瘤和息肉病综合征的常用方法。然而，繁琐的阅读过程、小肠病变的漏诊以及缺乏移动性是扩大其应用的主要障碍。随着人工智能的最新进展，多项研究报告了卷积神经网络系统在诊断各种小肠病变（包括糜烂/溃疡、血管扩张、息肉和出血性病变）方面的良好表现，这减少了胶囊内镜解读所需的时间。此外，结肠胶囊内镜和磁力驱动的胶囊内镜移动性已被研究用于临床应用，并且已经推出了各种用于主动移动、活检或治疗方法的胶囊内镜原型。在这篇综述中，我们将讨论胶囊内镜领域人工智能的最新进展，以及胶囊内镜其他技术改进的研究。
