JPRN-UMIN000039645已完成未知
Creation of an automatic diagnosis system for endoscopic images of esophageal disease using AI - Creation of an automatic diagnosis system for endoscopic images of esophageal disease using AI
Osaka International Cancer Institute Gastrointestinal Oncology0 个研究点目标入组 21 人开始时间: 2020年3月30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
- 21
研究概览
简要总结
We prepared 100 video datasets, including 50 superficial ESCCs, 22 noncancerous lesions, and 28 normal esophagi. The AI system had sensitivity of 85.7% (54 of 63 ESCCs) and specificity of 40%. Initial evaluation by endoscopists conducted with plain video (without AI support) had average sensitivity of 75.0% (47.3 of 63 ESCC) and specificity of 91.4%.
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
- •When the patient reject to use existing information through an information disclosure document published on the homepage of the facility.
研究者
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