人工智能在炎症性肠病图像诊断的应用进展

doi:10.20223/j.cnki.1000-8535.2025.05.001

广州医药 ›› 2025, Vol. 56 ›› Issue (5): 571-580.DOI: 10.20223/j.cnki.1000-8535.2025.05.001

• 专题：人工智能与医学 • 下一篇

人工智能在炎症性肠病图像诊断的应用进展

赵柳淇^1,2, 戴世学², 沙卫红³

1 武汉大学第一临床学院(湖北武汉 430060)
2 广东省人民医院老年消化科(广东广州 510080)
3 广东省人民医院消化内科(广东广州 510080)

收稿日期:2025-02-06 出版日期:2025-05-20 发布日期:2025-06-17
通讯作者: 沙卫红,E-mail：wh-sha@163.com
作者简介:沙卫红主任医师,医学博士,博士生导师,广东省人民医院消化内科主任,大内科副主任; 广东省“三八”红旗手,广东医师奖、首届“羊城好医生”获得者; 现任中华医学会消化內镜分会全国委员,中国医师协会消化医师分会全国委员,广东省医师协会消化内镜医师分会主任委员、广东省医学会消化病学分会副主任委员及《中华消化内镜杂志》、Gastroenterology中文版、GUT中文版等国内外消化权威杂志编委; ===毕业于中山医科大学全英班并相继取得硕士、博士学位,曾在日本崎玉省立肿瘤医院消化内镜中心、香港威尔士亲王医院内镜中心进修,并在美国德州大学医学分部（University of Texas Medical Branch,UTMB）消化内科从事博士后研究工作; 承担国家自然科学基金、广东省自然科学基金及广东省人民医院登峰计划重大项目等各级科研课题10余项,获广东省、广州市科技进步奖5项,在国内外核心杂志上发表论文100余篇; 其中包括在顶级医学期刊《英国医学杂志》（The British Medical Journal,BMJ）及《柳叶刀》子刊E Clinical Medicine上发表研究论文; ===致力于消化系统疾病的临床、教学和科研工作,洞悉本专业领域国内外研究动向,尤其擅长胃食管反流病、消化性溃疡出血等酸相关性疾病,功能性胃肠病,炎症性肠病的诊断与治疗以及内镜下球囊扩张、支架放置、胆总管取石、套扎及注射止血、息肉切除等各种临床治疗。
基金资助:
国家自然科学基金面上项目（82170561）;广东省自然科学基金面上项目（2022A1515012081）

Progress of image diagnosis by artificial intelligence in inflammatory bowel disease

ZHAO Liuqi^1,2, DAI Shixue², SHA Weihong³

1 The First Clinical School,Wuhan University,Wuhan 430060,China
2 Department of Gastroenterology,Guangdong Provincial Geriatrics Institute,National Key Clinical Specialty,Guangdong Provincial People’s Hospital（Guangdong Academy of Medical Sciences）,Southern Medical University,Guangzhou 510080,China
3 Department of Gastroenterology,Guangdong Provincial People’s Hospital（Guangdong Academy of Medical Sciences）,Southern Medical University,Guangzhou 510080,China

Received:2025-02-06 Online:2025-05-20 Published:2025-06-17

摘要/Abstract

摘要： 人工智能（AI）这一新兴技术的出现和应用给炎症性肠病（IBD）的诊断带来了巨大的变革。越来越多的研究着手于开发基于机器学习（ML）和深度学习（DL）的诊断模型,并获得了良好的诊断性能,尤其是在IBD的图像诊断,卷积神经网络（CNN）等模型由于其出色的图像分析能力,在内镜检查和组织病理检查等方面具有十分可观的发展前景。近年来AI诊断模型的应用越发广泛,但与此同时,关于算法、数据库及其应用方面仍存在一些难以忽视的局限性。本文将主要就图像识别方面对AI在IBD诊断中的应用进行综述,以期为IBD精准图像诊断领域下步研究提供参考。

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

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．

Key words: inflammatory bowel disease, artificial intelligence, endoscopy, histopathology, diagnostic models

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.

ZHAO Liuqi, DAI Shixue, SHA Weihong. Progress of image diagnosis by artificial intelligence in inflammatory bowel disease[J]. Guangzhou Medical Journal, 2025, 56(5): 571-580.

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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

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