Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images

Recruiting now · Not applicable

Conditions studied: Colonic Polyp, Colon Adenoma

In brief

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 facts

Study ID

NCT06550908

Run by

Wuerzburg University Hospital

People needed

70

Starts

2025-04-15

Expected to finish

2025-08-31

Last updated by the study team

2025-08-12

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Physicians with or without experience in colonoscopy

Where it is running

• University hospital Würzburg — Würzburg, Germany (enrolling)

Full record on ClinicalTrials.gov

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