人工智能将如何改变炎症性肠病的临床护理、研究和试验。

IF 11.6 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Anna L. Silverman , Dennis Shung , Ryan W. Stidham , Gursimran S. Kochhar , Marietta Iacucci
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引用次数: 0

摘要

人工智能(AI)是指基于计算机的方法,它利用数据教计算机解决预定义的任务;这些方法可用于识别大型多模态数据源中的模式。人工智能在炎症性肠病(IBD)中的应用包括预测对治疗的反应、内窥镜检查的疾病活动评分、药物发现以及识别图像中的肠道损伤。IBD 是一种复杂的疾病,基因组学、代谢组学、微生物组和环境之间的关系错综复杂,能够处理这种复杂性的方法将使 IBD 受益匪浅。我们介绍了人工智能在 IBD 领域的当前应用、关键挑战,并提出了未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease
Artificial intelligence (AI) refers to computer-based methodologies that use data to teach a computer to solve pre-defined tasks; these methods can be applied to identify patterns in large multi-modal data sources. AI applications in inflammatory bowel disease (IBD) includes predicting response to therapy, disease activity scoring of endoscopy, drug discovery, and identifying bowel damage in images. As a complex disease with entangled relationships between genomics, metabolomics, microbiome, and the environment, IBD stands to benefit greatly from methodologies that can handle this complexity. We describe current applications, critical challenges, and propose future directions of AI in IBD.
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来源期刊
CiteScore
16.90
自引率
4.80%
发文量
903
审稿时长
22 days
期刊介绍: Clinical Gastroenterology and Hepatology (CGH) is dedicated to offering readers a comprehensive exploration of themes in clinical gastroenterology and hepatology. Encompassing diagnostic, endoscopic, interventional, and therapeutic advances, the journal covers areas such as cancer, inflammatory diseases, functional gastrointestinal disorders, nutrition, absorption, and secretion. As a peer-reviewed publication, CGH features original articles and scholarly reviews, ensuring immediate relevance to the practice of gastroenterology and hepatology. Beyond peer-reviewed content, the journal includes invited key reviews and articles on endoscopy/practice-based technology, health-care policy, and practice management. Multimedia elements, including images, video abstracts, and podcasts, enhance the reader's experience. CGH remains actively engaged with its audience through updates and commentary shared via platforms such as Facebook and Twitter.
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