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计算机辅助诊断在结肠镜检查中的应用
引用本文:甘建琛,张明庆,秦海,张锡朋.计算机辅助诊断在结肠镜检查中的应用[J].天津医药,2019,47(6):580-583.
作者姓名:甘建琛  张明庆  秦海  张锡朋
作者单位:天津市人民医院肛肠疾病诊疗中心 (邮编300121)
摘    要:摘要: 人工智能在医学领域的应用受到广泛关注。其中计算机辅助诊断 (CAD) 在消化内镜领域, 特别是结肠镜检查中的研究开展较多, 但尚未广泛应用于临床。结肠镜检查容易受操作者经验的限制, 影响其诊断的准确性。结肠镜检查中应用CAD有助于克服经验不足和视觉疲劳等因素, 提高结肠息肉检出率, 减少漏诊; 并有助于准确判断息肉的病理学类型, 识别肿瘤性病变。本文对CAD在结肠镜检查中的研究进展进行综述, 并对该技术的应用作出展望。

关 键 词:结肠镜检查    诊断    计算机辅助    人工智能    敏感性与特异性    肠息肉  
收稿时间:2019-04-01
修稿时间:2019-05-26

Application of computer-assisted diagnosis in colonoscopy
GAN Jian-chen,ZHANG Ming-qing,QIN Hai,ZHANG Xi-peng.Application of computer-assisted diagnosis in colonoscopy[J].Tianjin Medical Journal,2019,47(6):580-583.
Authors:GAN Jian-chen  ZHANG Ming-qing  QIN Hai  ZHANG Xi-peng
Institution:Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin 300121, China
Abstract:Abstract: The application of artificial intelligence in medicine is now attracting substantial attention. In the field of gastrointestinal endoscopy, computer-aided diagnosis (CAD) for colonoscopy is the most investigated area, although it is still in the preclinical phase. Colonoscopy is easily limited by the operator's experience, which affects the accuracy of the diagnosis. The application of CAD in colonoscopy can help operators overcome factors such as lack of experience and visual fatigue, improve the detection rate of colon polyps and reduce missed diagnosis. The application of CAD also can help to accurately determine the pathological type of polyps and distinguish tumorous lesions. In this paper, the research progress of CAD in colonoscopy is reviewed, and the application of this technology is prospected.
Keywords:colonoscopy  diagnosis  computer-assisted  artificial intelligence  sensitivity and specificity  intestinal polyps  
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