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AI magic: can doctors spot fake colonoscopy images?

NCT ID NCT06553326

Knowledge-focused Sponsor: Wuerzburg University Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study tested an AI system called EndoStyle that can change the style of colonoscopy images to look like they came from different video processors. 40 doctors with colonoscopy experience were shown sequences of real and AI-transformed images to see if they could tell the difference. The goal is to help AI training work across different hospital equipment, potentially improving colon cancer detection.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
EndoStyle device (AI image style transfer software)
What this could lead to
If successful, this could help train AI systems to work with different types of endoscopy equipment, potentially improving colon cancer detection across hospitals.
What could go wrong
This is a small, completed survey with only 40 physicians, testing whether they can tell AI-transformed images from real ones. It does not directly test cancer detection or patient outcomes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

40 people

The number who actually took part.

Started

Aug 2024

Finished

Aug 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The participants to the survey will be physicians with experience in colonoscopy.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Physicians with experience in colonoscopy.

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Conditions

The condition(s) this trial relates to.

colon carcinoma colonic neoplasm colorectal cancer

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Colon cancer Colon rectal cancer

Contacts and locations

Locations

  • University Clinic of Würzburg

    Würzburg, Bavaria, 97080, Germany

More trials for these conditions

Other studies related to the condition(s) this trial covers.