Role of artificial intelligence in Crohn’s disease intestinal strictures and fibrosis

Yi Fei Chen , Liu Liu , Bin Lyu , Ye Yang , Si Si Zheng , Xuan Huang , Yi Xu , Yi Hong Fan

Journal of Digestive Diseases ›› 2024, Vol. 25 ›› Issue (8) : 476 -483.

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Journal of Digestive Diseases ›› 2024, Vol. 25 ›› Issue (8) : 476 -483. DOI: 10.1111/1751-2980.13308
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Role of artificial intelligence in Crohn’s disease intestinal strictures and fibrosis

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Abstract

Crohn’s disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract. Intestinal fibrosis or stricture is one of the most prevalent complications in CD with a high recurrence rate. Manual examination of intestinal fibrosis or stricture by physicians may be biased or inefficient. A rapid development of artificial intelligence (AI) technique in recent years facilitates the detection of existing or possible intestinal fibrosis and stricture in CD through various modalities, including endoscopy, imaging examination, and serological biomarkers. We reviewed the articles on AI application in diagnosing intestinal fibrosis and stricture in CD during the past decade and categorized them into three aspects based on the detection methods, and found that AI helps accurate and expedient identification and prediction of intestinal fibrosis and stenosis in CD.

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artificial intelligence / Crohn disease / fibrosis / intestinal stricture / machine learning

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Yi Fei Chen, Liu Liu, Bin Lyu, Ye Yang, Si Si Zheng, Xuan Huang, Yi Xu, Yi Hong Fan. Role of artificial intelligence in Crohn’s disease intestinal strictures and fibrosis. Journal of Digestive Diseases, 2024, 25(8): 476-483 DOI:10.1111/1751-2980.13308

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2024 Chinese Medical Association Shanghai Branch, Chinese Society of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.

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