Artificial Intelligence for Quantifying Endoscopic Mucosal Ulceration in Crohn’s Disease

IF 12 1区医学 Q1 GASTROENTEROLOGY & HEPATOLOGY

Clinical Gastroenterology and Hepatology Pub Date : 2025-08-18 DOI:10.1016/j.cgh.2025.05.026

Lingrui Cai MS, Emily Wittrup MS, Cristian Minoccheri PhD, Tadd Hiatt MD, Michael Rice MD, Shrinivas Bishu MD, Aleksandar Stojmirovic PhD, Louis R. Ghanem MD PhD, Kayvan Najarian PhD, Ryan W. Stidham MD MS

引用次数: 0

Abstract

Endoscopic scoring of Crohn’s disease (CD) is challenging as mucosal disease is patchy with highly variable morphology, size, and severity. Computer vision may help quantify disease activity with similar performance as standard instruments like the Simple Endoscopic Score for Crohn's Disease (SES-CD).

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人工智能量化克罗恩病内镜下粘膜溃疡

克罗恩病（CD）的内镜评分是具有挑战性的，因为粘膜疾病是斑块状的，具有高度可变的形态、大小和严重程度。计算机视觉可能有助于量化疾病活动，其性能与标准仪器（如克罗恩病简单内窥镜评分（SES-CD））相似。

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

Clinical Gastroenterology and Hepatology 医学-胃肠肝病学

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.