AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBD.

IF 4.5 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Phillip Gu, Oreen Mendonca, Dan Carter, Shishir Dube, Paul Wang, Xiuzhen Huang, Debiao Li, Jason H Moore, Dermot P B McGovern
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引用次数: 0

Abstract

Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the detection, monitoring, and prognostication of inflammatory bowel disease (IBD). However, interpretation of these studies often relies on subjective human judgment, which can lead to delays, intra- and interobserver variability, and potential diagnostic discrepancies. With the rising incidence of IBD globally coupled with the exponential digitization of these data, there is a growing demand for innovative approaches to streamline diagnosis and elevate clinical decision-making. In this context, artificial intelligence (AI) technologies emerge as a timely solution to address the evolving challenges in IBD. Early studies using deep learning and radiomics approaches for endoscopy, histology, and imaging in IBD have demonstrated promising results for using AI to detect, diagnose, characterize, phenotype, and prognosticate IBD. Nonetheless, the available literature has inherent limitations and knowledge gaps that need to be addressed before AI can transition into a mainstream clinical tool for IBD. To better understand the potential value of integrating AI in IBD, we review the available literature to summarize our current understanding and identify gaps in knowledge to inform future investigations.

人工智能照亮炎症性肠病:关于人工智能在内窥镜、组织学和 IBD 影像学中的作用的叙述性综述。
内窥镜检查、组织学检查和横断面成像是炎症性肠病(IBD)检测、监测和预后的基本支柱。然而,对这些研究的解释往往依赖于人的主观判断,这可能会导致延误、观察者内部和观察者之间的差异以及潜在的诊断差异。随着全球 IBD 发病率的上升以及这些数据的指数级数字化,人们对简化诊断和提高临床决策水平的创新方法的需求与日俱增。在此背景下,人工智能(AI)技术应运而生,成为应对 IBD 不断变化的挑战的及时解决方案。利用深度学习和放射组学方法对 IBD 进行内窥镜检查、组织学检查和成像的早期研究表明,利用人工智能检测、诊断、描述、表型和预后 IBD 的效果很好。尽管如此,现有文献仍存在固有的局限性和知识空白,需要在人工智能成为 IBD 主流临床工具之前加以解决。为了更好地了解将人工智能整合到 IBD 中的潜在价值,我们回顾了现有文献,总结了我们目前的理解,并找出了知识差距,为未来的研究提供参考。
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来源期刊
Inflammatory Bowel Diseases
Inflammatory Bowel Diseases 医学-胃肠肝病学
CiteScore
9.70
自引率
6.10%
发文量
462
审稿时长
1 months
期刊介绍: Inflammatory Bowel Diseases® supports the mission of the Crohn''s & Colitis Foundation by bringing the most impactful and cutting edge clinical topics and research findings related to inflammatory bowel diseases to clinicians and researchers working in IBD and related fields. The Journal is committed to publishing on innovative topics that influence the future of clinical care, treatment, and research.
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