NCT06550908

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

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 70 (estimated)
• Sponsor: Wuerzburg University Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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.

Conditions

• Colonic Polyp
• Colon Adenoma

Interventions

Type	Name	Description
OTHER	Lutetia Training Plattform - real images	Training platform Lutetia offers training the Paris classification using real images of colon polyps.
OTHER	Lutetia Training Plattform - artifical images	Training platform Lutetia offers training the Paris classification using artificial images of colon polyps.

Timeline

• Start date: 2025-04-15
• Primary completion: 2025-08-31
• Completion: 2025-08-31
• First posted: 2024-08-13
• Last updated: 2025-08-12

Locations

1 site across 1 country: Germany