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Implications of artificial intelligence in inflammatory bowel disease: Diagnosis, prognosis and treatment follow up

Artificial Intelligence in Gastroenterology 2021年第3期2卷 85-93页

作者： Ashraf Almomani Asif Hitawala Mohammad Abureesh thabet qapaja Dana Alshaikh Mohammad Zmaili Mohannad Abou Saleh Motasem Alkhayyat Department of Internal Medicine Cleveland Clinic Fairview HospitalClevelandOH 44111United States Department of Internal Medicine Staten Island University HospitalNew York CityNY 10305United States Department of Internal Medicine Cleveland Clinic FoundationClevelandOH 44195United States School of Medicine Mutah UniversityAlkarak 61710Jordan Department of Gastroenterology and Hepatology Cleveland Clinic FoundationClevelandOH 44195United States

Driven by the tremendous availability of data,artificial intelligence(AI)using deep learning has emerged as a breakthrough computer technology in the last few decades and has recently been acknowledged by the Task Force on AI as a golden opportunity for *** its ability to understand,learn from and build on non-linear relationships,AI aims to individualize medical care in an attempt to save time,cost,effort and improve patient’s *** has been applied in multiple medical fields with substantial progress made in gastroenterology mainly to facilitate accurate detection of pathology in different disease processes,among which inflammatory bowel disease(IBD)seems to drag significant attention,specifically by interpreting imaging studies,endoscopic images and videos and-to a lesser extent-disease ***,models have been built to predict IBD occurrence,flare ups,persistence of histological inflammation,disease-related structural abnormalities as well as disease *** this article,we will review the applications of AI in IBD in the present medical literature at multiple points of IBD timeline,starting from disease prediction via genomic assessment,diagnostic phase via interpretation of radiological studies and AI-assisted endoscopy,and the role of AI in the evaluation of therapy response and prognosis of IBD patients.

关键词： Artificial intelligence Machine learning Inflammatory bowel disease

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