JPRN-UMIN000044609招募中未知
Evaluation of computer-aided diagnosis system for colonic narrow-band imaging using artificial intelligence - Evaluation of AI for colonic NBI images
Showa University Northern Yokohama Hospital0 个研究点目标入组 400 人开始时间: 2021年8月1日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 招募中
- 发起方
- 入组人数
- 400
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
- 20years-old 至 ot applicable(—)
- 性别
- All
入选标准
- 未提供
排除标准
- •1. Patients who refuse to participate. 2. Lesions in patients with inflammatory bowel disease in a broad sense 3. Lesions not captured by NBI imaging
研究者
相似试验
已完成
不适用
Evaluation of the novel computer-aided diagnosis system for colorectal lesions using endocytoscopyColorectal polypsJPRN-UMIN000012797Digestive Disease Center, Showa University Northern Yokohama Hospital100
已完成
不适用
Evaluation of the novel computer-aided diagnosis system for predicting histological healing of UC patients using endocytoscopyJPRN-UMIN000027307Digestive Disease Center, Showa University Northern Yokohama Hospital100
尚未招募
Unknown
Smart tool to diagnose tropical feversCTRI/2024/04/065866Manipal Academy of Higher Education
已完成
不适用
Clinical Evaluation of Diagnostic Support Software for ColonoscopyColorectal neoplasmsJPRN-UMIN000044362Showa University Northern Yokohama Hospital350
已完成
不适用
A study to determine how artificial intelligence assistance affects the accuracy of a physician's diagnosis of colorectal polyps.Colorectal polypsJPRN-UMIN000049564ShowaUniversityNorthernYokohamaHospital14
