JPRN-UMIN000050685招募中Unknown
The usefulness of computer-aided detection technologies based on artificial intelligence with image enhanced endoscopy for detecting colon adenoma; single center, randomized controlled trial - The usefulness of computer-aided detection technologies based on artificial intelligence with image enhanced endoscopy for detecting colon adenoma; single center, randomized controlled trial
ippon Medical School0 个研究点目标入组 232 人开始时间: 2023年3月27日最近更新:
试验速览
- 阶段
- Unknown
- 状态
- 招募中
- 发起方
- 入组人数
- 232
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Interventional
入排标准
- 年龄范围
- 20years-old 至 ot applicable(—)
- 性别
- All
入选标准
- 未提供
排除标准
- •1. Patients with inflammatory bowel disease 2. No history of intestinal resection 3. No history of familial adenomatous polyposis 4. No history of severe intestinal adhesions 5. patients with a BPPS of 0 to 1 6. Patients who are considered ineligible by an attending physician
研究者
相似试验
尚未招募
Unknown
sefulness of computer-aided detection using artificial intelligence for esophageal squamous cell carcinoma in esophagogastroduodenoscopyJPRN-UMIN000049887agoya University165
撤回
不适用
Effect of a computer-aided detection system (CAD EYE) on adenoma detection in patients with Lynch syndrome: an international, multicenter parallel randomized controlled trialNL-OMON51017Amsterdam UMC160
尚未招募
不适用
Evaluation of a real-time computer aided detection and diagnosis system of Barrett's neoplasia during live endoscopic procedures: A multicenter prospective study10017990Esophageal Adenocarcinoma10017991esophageal cancerNL-OMON56957Academisch Medisch Centrum200
已完成
不适用
Evaluation of AI-assisted software for colonoscopycolorectal lesionJPRN-UMIN000040677Digestive Disease Center, Showa University Northern Yokohama Hospital2,261
进行中(未招募)
Unknown
ColoVision: Using computers to instantly find and describe colorectal polypsISRCTN68236490Portsmouth Hospitals NHS Trust654
