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人工智能辅助结肠镜检查在下消化道病变的应用进展

Application and progress of artificial intelligence-assisted colonoscopy in the examination of lower digestive tract diseases
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摘要 随着我国科技的进步及人民生活质量的逐渐提高,结直肠癌已跃升为前五高发的癌症,严重影响人民的健康及预期寿命。结直肠癌的形成需要一个很漫长的过程,因此,早发现、早诊断及早治疗极其重要,其中规范化的结肠镜检查是发现早期结直肠癌最有效的方法。近年来,人工智能辅助消化内镜检查正成为研究的热点,其应用在结直肠癌早诊早治方面有明显的成效。本文就人工智能辅助结肠镜检查的优缺点及存在的问题进行综述,并对未来人工智能辅助内镜诊断结直肠癌中的应用方向进行展望。 With the advancement of technology and the gradual improvement of people's quality of life,colorectal cancer has become to the top five high prevalent cancer,seriously affecting people's health and life expectancy.Since the formation of colorectal cancer requires a very long process,therefore,early detection,early diagnosis and early treatment are extremely important,among which standardized colonoscopy is the most effective method to detect early-staged colorectal cancer.Recently,artificial intelligence(AI)assisted gastrointestinal endoscopy is becoming one of the hot research topics,among which the application has obvious effectiveness in early diagnosis and treatment of colorectal cancer.This manuscript reviews the advantages,disadvantages and the potential problems of AI-assisted colonoscopy,and provides an outlook on the future application direction in AI-assisted endoscopic diagnosis of colorectal cancer.
作者 陈冰虹 伍海锐 柯岩 张玮 王贵齐 Chen Binghong;Wu Hairui;Ke Yan;Zhang Wei;Wang Guiqi(Department of Endoscopy,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China;Department of Endoscopy,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital&Shenzhen Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Shenzhen 518116,China)
出处 《中华结直肠疾病电子杂志》 2022年第2期154-157,共4页 Chinese Journal of Colorectal Diseases(Electronic Edition)
基金 国家重点研发计划(2016YFC1302800,2016YFC0901402,2018YFC1313103) 深圳市医疗卫生三名工程项目(SZSM201911008)。
关键词 人工智能 结肠镜 下消化道 部位识别 智能评分 Artificial Intelligence Colonoscopy Lower digestive tract Position recognition Intelligence score
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