University hospital Würzburg b
Würzburg, Germany
NCT Number: NCT07108569
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.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Würzburg, Germany
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Lutetia is an AI-based training plattform
Time frame: 6 months
The ability to recognise artificial images as being artificial, using an online questionnaire - binary question
Time frame: 6 months
The ability to recognise real images as being real using an online questionnaire - binary question
Time frame: 6 months
Accuracy to correctly classify images using an online questionnaire
Wuerzburg University Hospital
Other
Acronym: LUTETIA1
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