Capsule Endoscopy Delivery at sCale Through Enhanced AI anaLysis Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 720
- 试验地点
- 1
- 主要终点
- Sensitivity and specificity of polyp detection in AI enabled CCE reporting
研究概览
简要总结
The CESCAIL study tests the use of Artificial Intelligence (AI) on a video taken from a minimally-invasive imaging device, to improve efficiency and accuracy of the detection of polyps, which are little outgrowths within the lining of the bowel.
详细描述
Participants will be continuing to follow their standard care pathway, and there are no additional requirements of the participants other than providing consent for their pseudonymised capsule video and data to be used to test the AI system.
The participant's final diagnosis will only be determined by the clinician's standard analysis pathway and not influenced by the AI enabled analysis pathway. All data is de-identified before a video is created and re-identified only once the standard final report is signed-off by the referring clinician. Therefore, the risk of patient harm due to exposed data is minimised.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Aged 18 or over
- •Patients who have been selected by overseeing clinician meeting NHS England criteria to undergo colon capsule endoscopy as part of their standard of care
排除标准
- •Patients unable to provide consent to take part in the study
研究组 & 干预措施
Lower Gastrointestinal Symptoms
Participant aged over 18 with referred lower gastrointestinal symptoms
结局指标
主要结局
Sensitivity and specificity of polyp detection in AI enabled CCE reporting
时间窗: 11 months
Sensitivity and specificity of polyp detection in AI enabled CCE reporting
Time taken to read video by clinicians and AI tool
时间窗: 11 months
Time taken to read video by clinicians and AI tool
次要结局
未报告次要终点