临床与实验病理学杂志2026，Vol.42Issue(5)：648-652,659,6.DOI:10.13315/j.cnki.cjcep.2026.05.013
人工智能辅助溃疡性结肠炎组织学评估和预测预后
Artificial intelligence-assisted histological assessment and prognosis prediction in ulcerative colitis
摘要
Abstract
Integrating artificial intelligence(AI)into ulcerative colitis(UC)by analyzing histological images en-ables precise and objective assessment of disease activity,thereby promoting the prediction of histological remission,major adverse outcomes,and treatment response.This article outlines the research progress of AI applications in UC histology,including:assisting in the assessment of histological activity;assisting in the diagnosis of colitis-associated dysplasia;assisting in the prediction of adverse outcomes and treatment response;and assisting in the automated as-sessment of barrier healing.Although the application of AI in UC histology currently faces limitations and challenges,it will transform UC management and contribute to personalized and precision medicine for patients.关键词
人工智能/溃疡性结肠炎/组织学/预后/文献综述Key words
artificial intelligence/ulcerative colitis/histology/prognosis/literature review分类
医药卫生引用本文复制引用
冯阳阳,肖华亮,魏艳玲..人工智能辅助溃疡性结肠炎组织学评估和预测预后[J].临床与实验病理学杂志,2026,42(5):648-652,659,6.基金项目
重庆市技术创新与应用发展专项重点项目(CSTB2022TIAD-KPX0161) Key Program of Chongqing Technology Innovation and Application Development Special Project(CSTB2022TIAD-KPX0161) （CSTB2022TIAD-KPX0161）
