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Trial Title:
Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images
NCT ID:
NCT06550908
Condition:
Colonic Polyp
Colon Adenoma
Conditions: Official terms:
Adenoma
Polyps
Colonic Polyps
Conditions: Keywords:
Colonoscopy
Study type:
Interventional
Study phase:
N/A
Overall status:
Not yet recruiting
Study design:
Allocation:
Randomized
Intervention model:
Parallel Assignment
Primary purpose:
Basic Science
Masking:
None (Open Label)
Intervention:
Intervention type:
Other
Intervention name:
Lutetia Training Plattform
Description:
Training platform Lutetia offers training the Paris classification using real or
artificial images of colon polyps.
Arm group label:
Training with artificial images
Arm group label:
Training with real images
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. We want to use artificial intelligence (AI) to
better train doctors to recognise these precursors. By using generative AI, we 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 we want to train physicians using real images or artificial images in order
to compare which version helps classify polyps better.
Criteria for eligibility:
Criteria:
Inclusion Criteria:
- Physicians with or without experience in colonoscopy
Gender:
All
Minimum age:
18 Years
Maximum age:
N/A
Healthy volunteers:
Accepts Healthy Volunteers
Start date:
September 2024
Completion date:
July 2025
Lead sponsor:
Agency:
Wuerzburg University Hospital
Agency class:
Other
Source:
Wuerzburg University Hospital
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06550908
