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Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images
Sponsor: Wuerzburg University Hospital
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 train physicians using real images or artificial images in order to compare which version helps classify polyps better.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
70
Start Date
2025-04-15
Completion Date
2025-08-31
Last Updated
2025-08-12
Healthy Volunteers
Yes
Conditions
Interventions
Lutetia Training Plattform - real images
Training platform Lutetia offers training the Paris classification using real images of colon polyps.
Lutetia Training Plattform - artifical images
Training platform Lutetia offers training the Paris classification using artificial images of colon polyps.
Locations (1)
University hospital Würzburg
Würzburg, Germany