广州医药2025，Vol.56Issue(5)：571-580,10.DOI:10.20223/j.cnki.1000-8535.2025.05.001
人工智能在炎症性肠病图像诊断的应用进展
Progress of image diagnosis by artificial intelligence in inflammatory bowel disease
摘要
Abstract
As an emerging technology,artificial intelligence(AI)has brought great changes to the precise diagnosis of inflammatory bowel disease(IBD).More and more researches have developed diagnostic models which are based on machine learning(ML)and deep learning(DL)and obtained satisfactory diagnostic performance.Especially in the image diagnosis of IBD,convolutional neural network(CNN)and other models have considerable development prospects in endoscopy and histopathology due to their excellent image analysis capabilities.In recent years,the application of AI diagnostic models has become more and more widespread,but at the same time,there are still some limitations about algorithms,databases and their applications that cannot be ignored.This review mainly focused on the application of AI in IBD diagnosis from the aspect of image recognition,to provide a reference for IBD diagnosis towards precision medicine.关键词
炎症性肠病/人工智能/内镜诊断/组织病理检查/诊断模型Key words
inflammatory bowel disease/artificial intelligence/endoscopy/histopathology/diagnostic models引用本文复制引用
赵柳淇,戴世学,沙卫红..人工智能在炎症性肠病图像诊断的应用进展[J].广州医药,2025,56(5):571-580,10.基金项目
国家自然科学基金面上项目(82170561) （82170561）
广东省自然科学基金面上项目(2022A1515012081) （2022A1515012081）
