解放军医学院学报2025，Vol.46Issue(11)：1095-1102,8.DOI:10.12435/j.issn.2095-5227.25102903
人工智能在经内镜逆行胰胆管造影术中的应用进展
Advances in artificial intelligence in endoscopic retrograde cholangiopancreatography
摘要
Abstract
Artificial intelligence,centered on technologies such as deep learning and computer vision,is permeating every stage of endoscopic retrograde cholangiopancreatography(ERCP).It integrates imaging and laboratory data to precisely assess procedural necessity and stratify risk;analyzes real-time cholangioscopy or fluoroscopy images to accurately identify malignant strictures,locate the ampulla,and warn of difficult cannulation,thereby significantly reducing ERCP procedural difficulty and radiation dose;and efficiently predicts postoperative complications such as pancreatitis and cholangitis,enabling individualized treatment.AI has already demonstrated diagnostic accuracy surpassing that of traditional methods,predictive performance superior to experiential judgment,and training advantages in shortening the learning curve.In the future,generative adversarial networks may more efficiently synthesize high-quality ERCP images,providing a"digital film library"for zero-risk training and data augmentation of rare cases.关键词
人工智能/深度学习/经内镜逆行胰胆管造影术/胆管疾病/术后并发症Key words
artificial intelligence/deep learning/endoscopic retrograde cholangiopancreatography/biliary tract diseases/postoperative complications分类
医药卫生引用本文复制引用
张贯军,孟科,李明阳..人工智能在经内镜逆行胰胆管造影术中的应用进展[J].解放军医学院学报,2025,46(11):1095-1102,8.基金项目
省部级课题 （）
