首页> 美国卫生研究院文献>Frontline Gastroenterology >Human-machine collaboration: bringing artificial intelligence into colonoscopy
【2h】

Human-machine collaboration: bringing artificial intelligence into colonoscopy

机译:人机合作:将人工智能带入结肠镜检查

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Colorectal cancer (CRC) is the third most common malignancy worldwide. Colonoscopy offers protection against the development of CRC by detection and resection of neoplastic lesions. Unfortunately, the procedure remains highly operator dependent. A meta-analysis of tandem colonoscopy studies revealed a pooled miss rate of 22% for polyps of any size.1 Postcolonoscopy CRCs are associated with low adenoma detection rates (ADR) and incompletely resected or missed lesions are recognised as key contributory factors.2 International efforts to improve quality must be commended, particularly those led by the Joint Advisory Group on Gastrointestinal Endoscopy in the UK, where individual colonoscopy performance is assessed by quality assurance using key performance indicators. Despite these efforts further significant improvement is needed.
机译:结肠直肠癌(CRC)是全球第三个最常见的恶性肿瘤。结肠镜检查通过检测和切除肿瘤病变来提供针对CRC的开发的保护。不幸的是,该过程仍然依赖于高度操作员。串联结肠镜检查的META分析显示,任何大小的息肉的息肉未命示率为22%.1后暗症镜检查CRCS与低腺瘤检测率(ADR)有关,并且未经完全切除或错过病变被认为是关键贡献因素.2国际必须赞扬改善质量的努力,特别是由英国胃肠内窥镜检查的联合咨询小组领导的那些,其中通过使用关键绩效指标的质量保证来评估个别结肠镜检查性能。尽管这些努力需要进一步重大改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号