Artificial intelligence assisted assessment of endoscopic disease activity in inflammatory bowel disease
作者机构：GastrounitMedical SectionCopenhagen University Hospital HvidovreHvidovre 2650Denmark Copenhagen Centre for Inflammatory Bowel Disease in ChildrenAdolescents and AdultsCopenhagen University Hospital HvidovreHvidovre 2650Denmark
出 版 物：《Artificial Intelligence in Gastrointestinal Endoscopy》 (胃肠道内窥镜检查中的人工智能（英文）)
年 卷 期：2021年第2卷第4期
页 面：95-102页
学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
主 题：Inflammatory bowel disease Artificial intelligence Deep learning Endoscopy Disease severity Machine learning
摘 要：Assessment of endoscopic disease activity can be difficult in patients with inflammatory bowel disease(IBD)[comprises Crohn s disease(CD)and ulcerative colitis(UC)].Endoscopic assessment is currently the foundation of disease evaluation and the grading is pivotal for the initiation of certain ***,disharmony is found among experts;even when reassessed by the same *** studies have demonstrated that the evaluation is no better than flipping a *** UC,the greatest achieved consensus between physicians when assessing endoscopic disease activity only reached a Kappa value of 0.77(or 77%agreement adjustment for chance/accident).This is unsatisfactory when dealing with patients at risk of surgery or disease progression without proper ***,across all medical specialities,computer assistance has become increasingly *** after the emanation of machine learning–colloquially referred to as artificial intelligence(AI).Compared to other data analysis methods,the strengths of AI lie in its capability to derive complex models from a relatively small dataset and its ability to learn and optimise its predictions from new *** is therefore evident that with such a model,one hopes to be able to remove inconsistency among humans and standardise the results across educational levels,nationalities and *** has manifested in a handful of studies where AI is mainly applied to capsule endoscopy in CD and colonoscopy in ***,due to its recent place in IBD,there is a great inconsistency between the results,as well as the reporting of the *** this opinion review,we will explore and evaluate the method and results of the published studies utilising AI within IBD(with examples),and discuss the future possibilities AI can offer within IBD.
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