JPRN-UMIN000039853已完成未知
The detection rate of colorectal polyps with an artificial intelligence algorithm in the dynamic analysis using video clips - The detection rate of colorectal polyps with an artificial intelligence algorithm in the dynamic analysis using video clips
Department of Endoscopy, The Jikei University School of Medicine0 个研究点目标入组 20 人开始时间: 2020年3月17日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 发起方
- 入组人数
- 20
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- ot applicable 至 ot applicable（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •We excluded the cases from analysis that did not record intubation or withdrawal of a scope and stored for CAD system training.
研究者
相似试验
已完成
不适用
colorectal polyp/adenoma detection rate due to Endocuff-assisted colonoscopy compared with standard colonoscopycolorectal polypJPRN-UMIN000028572Wada Clinic480
已完成
不适用
Detectability of colorectal polyp using the novel endoscopic system which a laser light source was equipped with: a multicenter randomized controlled trialcolorectal lesionJPRN-UMIN000014555ational Cancer Center Hospital East1,000
招募中
不适用
Improvement of Detectability of Colorectal Polyps using Blue Laser ImagingColorectal polypJPRN-UMIN000013770Department of gastroenteorlogy and hepatology, Kyoto Prefectural University of Medicine1,000
已完成
不适用
Examination of small polyp detection ability using a novel image-enhanced endoscopy systemcolorectal polypJPRN-UMIN000046255Department of Medicine, Division of Gastroenterology, Showa University, Tokyo, Japan39
已完成
不适用
Detectability of colorectal lesions using the novel endoscopic system which 330 degrees wide viewing angle was wquipped with: a multicenter randomized controlled trialcolorectal lesionsJPRN-UMIN000020448Showa University Northern Yokohama Hospital340