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EndoStyle: Artificial Intelligence Image Transformation Tool for Colonoscopy

NCT06553326 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2025-09-02

No results posted yet for this study

Summary

The study addresses the limitations of current AI systems in gastrointestinal endoscopy, which are tipically trained with data from a single type of endoscopy processor and have limited expert-annotated images. The investigators aim to develop and validate EndoStyle, an AI system that can generate images in the style of various processors from a single reference image. EndoStyle will be tested by showing endoscopists colonoscopy sequences with different image types to determine if they can distinguish AI-transformed images. Success would enhance AI training for diverse clinical setups.

Conditions

Interventions

DEVICE

EndoStyle

The EndoStyle system is able to transform the style of the different video-processor images.

Sponsors & Collaborators

  • Wuerzburg University Hospital

    lead OTHER

Principal Investigators

  • Alexander Hann, MD · University Hospital of Würzburg

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-08-15
Primary Completion
2025-08-22
Completion
2025-08-22

Countries

  • Germany

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06553326 on ClinicalTrials.gov