Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images
Trial Snapshot
- Phase
- Not Applicable
- Status
- Recruiting
- Enrollment
- 70
- Locations
- 1
- Primary Endpoint
- Accuracy for Paris classification
Study Overview
Brief 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.
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Basic Science
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Physicians with or without experience in colonoscopy
Exclusion Criteria
- Not provided
Arms & Interventions
Training with real images
Physicians train using the Paris classification with real colon polyp images
Intervention: Lutetia Training Plattform - real images (Other)
Training with artificial images
Physicians train using the Paris classification with artificial colon polyp images
Intervention: Lutetia Training Plattform - artifical images (Other)
Outcomes
Primary Outcomes
Accuracy for Paris classification
Time Frame: 9 months
Ability to correctly classify colonic polyps using the Paris classification
Secondary Outcomes
- Influence regular usage of Paris classification on accuracy for correct Paris classification(9 months)
- Range of misclassifications for Paris classification(9 months)
- Influence of endoscopy experience on accuracy for correct Paris classification(9 months)
- Influence of time to complete course on accuracy for correct Paris classification(9 months)