Actively Recruiting
Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images
Led by Wuerzburg University Hospital · Updated on 2025-08-12
70
Participants Needed
1
Research Sites
19 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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 train physicians using real images or artificial images in order to compare which version helps classify polyps better.
CONDITIONS
Official Title
Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Physicians with or without experience in colonoscopy
You will not qualify if you...
History of severe allergic reactions to study medication Currently pregnant or breastfeeding Recent participation in another clinical trial within the last 30 days Presence of uncontrolled medical conditions that could affect safety
AI-Screening
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Trial Site Locations
Total: 1 location
1
University hospital Würzburg
Würzburg, Germany
Actively Recruiting
Research Team
A
Alexander Hann, MD
CONTACT
R
Ronja Weber
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
BASIC_SCIENCE
Number of Arms
2
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