Ability of Physicians to Distinguish Real From Artificial Colon Polyp Images (LUTETIA1)

Wuerzburg University Hospital

Status: Completed

Conditions: Colon Polyp; Colonic Adenoma

Treatments: Other: Lutetia

Study type: Interventional

Funder types: Other

Identifiers

NCT07108569

2022120701

Details and patient eligibility

About

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.

Enrollment: 53 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• Physicians with or without experience in colonoscopy

Trial design

Primary purpose: Basic Science

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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53 participants in 1 patient group

Image assessment

Experimental group

Description:

Physicians judge whether the random image presented to them is real or artificial

Treatment:

Other: Lutetia