EndoStyle: Artificial Intelligence Image Transformation Tool for Colonoscopy

NCT06553326 | Completed

• 1 other identifier: AI05
• Study Type: observational
• Target: 40
• Locations: 1 country
• Sites: 1

Brief 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

Colon Cancer; Colon Rectal Cancer

Keywords

colonoscopy; Artificial intelligence

Outcome Measures

Primary Outcomes (1)

• Perceptual Indistinguishability of AI-Transformed Endoscopic Images

  Comparison of the accuracy for each study group.

  5 months

Secondary Outcomes (3)

• Time Taken for Image Identification

  5 months

• Influence of regularly used processor

  5 months

• Influence of endoscopy experience

  5 months

Study Arms (3)

Positive control

The image shown to the participant belongs to the same colonoscopy shown in the 10 second video-sequence.

Negative control

The image shown to the participant belongs to the same colonoscopy shown in the 10 second video-sequence.

EndoStyle (intervention group)

The image shown to the participant does not belong to the 10 second colonoscopy video-sequence but has been transformed with AI to simulate the style of the video.

Device: EndoStyle

Interventions

EndoStyle DEVICE

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

EndoStyle (intervention group)

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

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

You may qualify if:

• Physicians with experience in colonoscopy.

Sponsors & Collaborators

• Wuerzburg University Hospital: lead

Study Sites (1)

University Clinic of Würzburg

Würzburg, Bavaria, 97080, Germany

Location

MeSH Terms

Conditions

Colonic Neoplasms

Condition Hierarchy (Ancestors)

Colorectal Neoplasms; Intestinal Neoplasms; Gastrointestinal Neoplasms; Digestive System Neoplasms; Neoplasms by Site; Neoplasms; Digestive System Diseases; Gastrointestinal Diseases; Colonic Diseases; Intestinal Diseases

Study Officials

• Alexander Hann, MD

  University Hospital of Würzburg

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 8, 2024
• First Posted: August 14, 2024
• Study Start: August 15, 2024
• Primary Completion: August 22, 2025
• Study Completion: August 22, 2025
• Last Updated: September 2, 2025

Record last verified: 2025-08

Locations

DE (1)