NCT07108569

Ability of Physicians to Distinguish Real From Artificial Colon Polyp Images

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 53 (actual)
• 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 identify the ability of physicians to distinguish artificial from real polyp images.

Conditions

• Colon Polyp
• Colonic Adenoma

Interventions

Type	Name	Description
OTHER	Lutetia	Lutetia is an AI-based training plattform

Timeline

• Start date: 2024-11-06
• Primary completion: 2025-02-01
• Completion: 2025-02-01
• First posted: 2025-08-07
• Last updated: 2025-08-07

Locations

1 site across 1 country: Germany