人工智能在结肠镜检查质量控制方面的应用

doi:10.20223/j.cnki.1000-8535.2025.05.002

广州医药 ›› 2025, Vol. 56 ›› Issue (5): 581-590.DOI: 10.20223/j.cnki.1000-8535.2025.05.002

• 专题：人工智能与医学 • 上一篇下一篇

人工智能在结肠镜检查质量控制方面的应用

乔雨晴, 陈泓磊

中山大学附属第八医院消化内镜中心(广东深圳 518033)

收稿日期:2024-12-02 出版日期:2025-05-20 发布日期:2025-06-17
通讯作者: 陈泓磊,E-mail：830830@163.com
作者简介:陈泓磊外科学博士,副主任医师,硕士生导师。中山大学附属第八医院（深圳福田）消化内镜中心主任,美国华盛顿大学（西雅图）公派联合培养博士,日本自治医科大学附属医院访问学者,深圳市医师协会消化内镜学会副主任委员、继续教育学组副组长,深圳市医学会消化内镜学会委员/早癌学组副组长,广东省医学会消化肿瘤分会常委,广东省医学会消化内镜分会委员,广东省医师协会消化内镜学会委员,广东省抗癌协会肿瘤内镜学专委会委员,广东省健康管理学会消化内镜MDT专委会副主任委员,世界内镜医师协会肝胆胃肠外科联盟理事。
基金资助:
广东省“新医科”教指委2023年教学改革项目（编号：55）;2024年福田区卫生健康系统科研项目（FTWS053）

Application of artificial intelligence in quality control of colonoscopy

QIAO Yuqing, CHEN Honglei

Department of Digestive Endoscopy,the Eighth Affiliated Hospital,Sun Yat-sen University,Shenzhen 518033,China

Received:2024-12-02 Online:2025-05-20 Published:2025-06-17

摘要/Abstract

摘要： 传统的结肠镜检查质量评估方式具有主观性强、费时费力等缺点。近年来,人工智能（AI）技术在结肠镜检查质量控制方面展现出客观性、即时性、全面性等优势,具有广阔的应用前景。文章全面探讨了AI在结肠镜检查质量控制中的多个应用场景,包括评估肠道准备质量、记录退镜时间、息肉识别和分类、预测早期结直肠癌浸润深度等方面,并通过具体的研究案例和数据分析了AI技术的有效性和优势。AI技术有望在提升结肠镜检查质量、促进结直肠癌的早诊早治方面发挥更加重要的作用,但面对技术、伦理及法规等多方面的挑战,未来需要持续努力,不断优化算法,加强跨学科合作,推动AI技术在医疗领域的健康、快速发展。

关键词: 人工智能, 结肠镜检查, 质量控制

Abstract: Traditional colonoscopy quality assessment methods have strong subjectivity and are time-consuming．In recent years,artificial intelligence technology has shown objectivity,timeliness,and comprehensiveness in colonoscopy quality control,with broad application prospects．This article comprehensively explores multiple application scenarios of AI in colonoscopy quality control,encompassing assessments of bowel preparation quality,recording of withdrawal times,polyp identification and classification,and prediction of early colorectal cancer invasion depth．Through specific research cases and data analysis,the effectiveness and advantages of AI technology are elucidated．AI technology is expected to play an increasingly significant role in enhancing the quality of colonoscopy and promoting early diagnosis and treatment of colorectal cancer．However,facing challenges from technology,ethics,regulations,and other aspects,continued efforts are needed in the future to continuously optimize algorithms,strengthen interdisciplinary collaboration,and promote the healthy and rapid development of AI technology in the medical field．

Key words: artificial intelligence, colonoscopy, quality control

乔雨晴, 陈泓磊. 人工智能在结肠镜检查质量控制方面的应用[J]. 广州医药, 2025, 56(5): 581-590.

QIAO Yuqing, CHEN Honglei. Application of artificial intelligence in quality control of colonoscopy[J]. Guangzhou Medical Journal, 2025, 56(5): 581-590.

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人工智能在结肠镜检查质量控制方面的应用

Application of artificial intelligence in quality control of colonoscopy

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