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人工智能在炎症性肠病中的应用进展

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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.
Application progress of artificial intelligence in inflammatory bowel disease
Inflammatory bowel disease(IBD)is a complex and heterogeneous disease characterized by chronic re-current 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 ap-plied in improving the diagnostic accuracy,identifying at-risk individuals,assessing disease severity,predicting treat-ment response and evaluating prognosis of IBD,which has great potential to promote the development of precision medi-cine.This article reviewed the application progress of AI in IBD.

Inflammatory bowel diseaseArtificial intelligenceMachine learningPrecision medicine

吴朴仙、王红霞、林婧、任鹏程、王祥

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兰州大学第二临床医学院,甘肃 兰州 730030

兰州大学第二医院消化科

炎症性肠病 人工智能 机器学习 精准诊疗

甘肃省重点研发计划

21YF5FA124

2024

胃肠病学和肝病学杂志
郑州大学

胃肠病学和肝病学杂志

CSTPCD
影响因子:1.029
ISSN:1006-5709
年,卷(期):2024.33(10)