| Registry | NCT07108569, acronym LUTETIA1 |
|---|---|
| Status | Completed |
| Phase | Not applicable |
| Study type | Interventional; na, single group, masking: none, basic science |
| Enrollment | 53 (Actual) |
| Sponsor | Wuerzburg University Hospital (Other) |
| Conditions | Colon Polyp, Colonic Adenoma |
| Interventions | Lutetia (Other) |
| Dates | start 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 in Germany |
Related Papers Related Patents Related Grants Related Experts
All trials for Colon Polyp All trials for Colonic Adenoma All trials of Lutetia
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.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Image assessment | Experimental | Other: Lutetia | Physicians judge whether the random image presented to them is real or artificial |
Sex: All, ages: 18 Years to any, accepts healthy volunteers
Inclusion Criteria: * Physicians with or without experience in colonoscopy
| Facility | City | Country | Status |
|---|---|---|---|
| University hospital Würzburg b | Würzburg | Germany |