The role of artificial intelligence in colonoscopy

IF 0.4 Q4 SURGERY
Hyun Jae Kim , Nasim Parsa , Michael F. Byrne
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引用次数: 0

Abstract

Recent advancements in artificial intelligence (AI) have had a profound impact on the field of gastrointestinal endoscopy, particularly in the realm of colonoscopy. Recent studies have shown excellent performance of AI models in both computer-aided detection (CADe) and computer-aided diagnosis (CADx) of polyps. Moreover, AI has shown promising results in other aspects of colonoscopy such as prediction of depth of tumor invasion, colonoscopy quality assurance, and AI applications in inflammatory bowel disease.

In this review, we summarize the recent literature on the application of AI in colonoscopy, and review the limitations and challenges of existing AI technologies and future directions for this field.

人工智能在结肠镜检查中的作用
人工智能(AI)的最新进展对消化道内窥镜检查领域,尤其是结肠镜检查领域产生了深远的影响。最近的研究表明,人工智能模型在息肉的计算机辅助检测(CADe)和计算机辅助诊断(CADx)方面表现出色。此外,人工智能在结肠镜检查的其他方面也取得了可喜的成果,如肿瘤侵犯深度预测、结肠镜检查质量保证以及人工智能在炎症性肠病中的应用。在这篇综述中,我们总结了最近有关人工智能在结肠镜检查中应用的文献,并回顾了现有人工智能技术的局限性和挑战以及该领域的未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
43
期刊介绍: Seminars in Colon and Rectal Surgery offers a comprehensive and coordinated review of a single, timely topic related to the diagnosis and treatment of proctologic diseases. Each issue is an organized compendium of practical information that serves as a lasting reference for colorectal surgeons, general surgeons, surgeons in training and their colleagues in medicine with an interest in colorectal disorders.
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