人工智能在炎症性肠病中的应用进展  

Application progress of artificial intelligence in inflammatory bowel disease

作　　者：吴朴仙 王红霞 林婧 任鹏程 王祥[2] WU Puxian;WANG Hongxia;LIN Jing;REN Pengcheng;WANG Xiang(The Second Clinical Medical College of Lanzhou University,Lanzhou 730030;Department of Gastroenterology,Lanzhou University Second Hospital,China)

机构地区：[1]兰州大学第二临床医学院,甘肃兰州730030 [2]兰州大学第二医院消化科

出　　处：《胃肠病学和肝病学杂志》2024年第10期1377-1381,共5页Chinese Journal of Gastroenterology and Hepatology

基　　金：甘肃省重点研发计划(21YF5FA124)。

摘　　要：炎症性肠病(inflammatory bowel disease,IBD)是一种具有复杂性和异质性的疾病,以慢性复发和缓解的肠道炎症为特征,目前发病机理尚不明确,临床缺乏特异性的标志物,其精准化诊疗是临床的一大挑战。人工智能(artificial intelligence,AI)具有强大的数据识别和分析能力,结合当前医疗大数据的发展,AI在提高IBD诊断准确性,识别风险个体,评估疾病严重程度,预测治疗反应以及评估预后等方面的应用广泛开展,有巨大的潜力促进IBD精准医疗的发展。本文就AI在IBD诊疗中的应用进展作一综述。Inflammatory bowel disease(IBD)is a complex and heterogeneous disease characterized by chronic recurrent and remitting intestinal inflammation.Its pathogenesis is still unclear and specific clinical markers are lacking,which makes accurate diagnosis and treatment of IBD a major clinical challenge.Artificial intelligence(AI)has strong data recognition and analysis capabilities.Combined with the development of medical big data,AI has been widely applied in improving the diagnostic accuracy,identifying at-risk individuals,assessing disease severity,predicting treatment response and evaluating prognosis of IBD,which has great potential to promote the development of precision medicine.This article reviewed the application progress of AI in IBD.

关 键 词：炎症性肠病 人工智能 机器学习 精准诊疗 

分 类 号：R574.62[医药卫生—消化系统]