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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Training with real images | Active Comparator | Physicians train using the Paris classification with real colon polyp images |
|
| Training with artificial images | Experimental | Physicians train using the Paris classification with artificial colon polyp images |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Lutetia Training Plattform - real images | Other | Training platform Lutetia offers training the Paris classification using real images of colon polyps. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy for Paris classification | Ability to correctly classify colonic polyps using the Paris classification | 9 months |
| Measure | Description | Time Frame |
|---|---|---|
| Range of misclassifications for Paris classification | Number of misclassification categorizes (eg 1-4) | 9 months |
| Influence of endoscopy experience on accuracy for correct Paris classification |
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Inclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Alexander Hann, MD | Contact | 0049931201 | 45918 | hann_a@ukw.de |
| Ronja Weber | Contact | 0049931201 | 40242 | ronja.weber@stud-mail.uni-wuerzburg.de |
| Name | Affiliation | Role |
|---|---|---|
| Alexander Hann | Wuerzburg University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University hospital Würzburg | Recruiting | Würzburg | Germany |
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| ID | Term |
|---|---|
| D003111 | Colonic Polyps |
| ID | Term |
|---|---|
| D007417 | Intestinal Polyps |
| D011127 | Polyps |
| D020763 | Pathological Conditions, Anatomical |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| Lutetia Training Plattform - artifical images | Other | Training platform Lutetia offers training the Paris classification using artificial images of colon polyps. |
|
Influence of endoscopy experience measured in number of perfomed colonoscopies on accuracy for correct Paris classification
| 9 months |
| Influence of time to complete course on accuracy for correct Paris classification | Influence of time to complete course measured in days on accuracy for correct Paris classification | 9 months |
| Influence regular usage of Paris classification on accuracy for correct Paris classification | Influence regular usage of Paris classification (yes/no) on accuracy for correct Paris classification | 9 months |