Ability of Physicians to Distinguish Real From Artificial Colon Polyp Images
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 53
- 试验地点
- 1
- 主要终点
- Ability to detect artificial images as artificial
研究概览
简要总结
Training in endoscopy is essential for the early detection of precursors of colorectal cancer. Up to now, this training has been carried out with image collections of findings and in practice when working on patients.
The investigators want to use artificial intelligence (AI) to better train doctors to recognise these precursors. By using generative AI, the investigators were able to create realistic images that comply with data protection regulations and whose content can be predefined. Parts of the image can also be regenerated so that it is possible to create different precancerous stages in the same place in the image.
In this study the investigators want to identify the ability of physicians to distinguish artificial from real polyp images.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Basic Science
- 盲法
- None
盲法说明
Participant does not know if pesented image is real or artificial
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Physicians with or without experience in colonoscopy
排除标准
- 未提供
结局指标
主要结局
Ability to detect artificial images as artificial
时间窗: 6 months
The ability to recognise artificial images as being artificial, using an online questionnaire - binary question
次要结局
- Accuracy to correctly classify images(6 months)
- Ability to detect real images as real(6 months)