Ability of Physicians to Distinguish Real From Artificial Colon Polyp Images
- Conditions
- Colon PolypColonic Adenoma
- Registration Number
- NCT07108569
- Lead Sponsor
- Wuerzburg University Hospital
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 53
- Physicians with or without experience in colonoscopy
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Primary Outcome Measures
Name Time Method Ability to detect artificial images as artificial 6 months The ability to recognise artificial images as being artificial, using an online questionnaire - binary question
- Secondary Outcome Measures
Name Time Method Accuracy to correctly classify images 6 months Accuracy to correctly classify images using an online questionnaire
Ability to detect real images as real 6 months The ability to recognise real images as being real using an online questionnaire - binary question
Trial Locations
- Locations (1)
University hospital Würzburg b
🇩🇪Würzburg, Germany
University hospital Würzburg b🇩🇪Würzburg, Germany