Effect of the Computer Aided Diagnosis with Explainable Artificial Intelligence for Colon Polyp on Optical Diagnosis and Acceptance of Technology
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 120
- 试验地点
- 1
- 主要终点
- Accuracy of optical diagnosis
研究概览
简要总结
The goal of this clinical trial is to learn if computer-aided diagnosis with deep learning and computer-aided diagnosis with explainable AI work to optical diagnosis performance and acceptance of technology in endoscopists. The main questions it aims to answer are:
Do computer-aided diagnosis with deep learning and computer-aided diagnosis with explainable AI improve optical diagnosis performance in endoscopists?
Does experience using deep learning-based computer-assisted diagnosis and explainable AI-based computer-assisted diagnosis improve endoscopists' acceptance of computer-aided diagnosis as a technology?
Participants will:
Conduct a survey on acceptance and use of technology about computer-aided diagnosis.
Perform a test to estimate the pathologic diagnosis on 200 NBI still images without the aid of computer-aided diagnosis.
More than 1 month later, perform a same test to estimate the pathologic diagnosis on 200 NBI still images with computer-aided diagnosis with deep learning or explainable AI.
Conduct a survey on acceptance and use of technology about computer-aided diagnosis.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Endoscopists with colonoscopy experience
排除标准
- •Who can not perform colonoscopy
研究组 & 干预措施
computer-aided diagnosis with explainable AI
Perform a same test to estimate the pathologic diagnosis on 200 NBI still images with computer-aided diagnosis with explainable AI
干预措施: computer-aided diagnosis with explainable AI (Diagnostic Test)
computer-aided diagnosis with deep learning
Perform a same test to estimate the pathologic diagnosis on 200 NBI still images with computer-aided diagnosis with deep learning
干预措施: computer-aided diagnosis with deep learning (Diagnostic Test)
结局指标
主要结局
Accuracy of optical diagnosis
时间窗: From baseline test to the follow up test (more than 1 month later from baseline test)
The proportion of cases in which pathological results are consistent with endoscopic estimation of adenoma and hyperplastic polyp
次要结局
- acceptance of computer-aided diagnosis as a technology(From baseline test to the follow up test (more than 1 month later from baseline test))
研究者
Su Jin Chung
professor
Seoul National University Hospital