Ability of Physicians to Distinguish Real From Artificial Colon Polyp Images
LUTETIA1
1 other identifier
interventional
53
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 8, 2024
CompletedStudy Start
First participant enrolled
November 6, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2025
CompletedFirst Posted
Study publicly available on registry
August 7, 2025
CompletedAugust 7, 2025
August 1, 2025
3 months
August 8, 2024
August 6, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Ability to detect artificial images as artificial
The ability to recognise artificial images as being artificial, using an online questionnaire - binary question
6 months
Secondary Outcomes (2)
Ability to detect real images as real
6 months
Accuracy to correctly classify images
6 months
Study Arms (1)
Image assessment
EXPERIMENTALPhysicians judge whether the random image presented to them is real or artificial
Interventions
Eligibility Criteria
You may qualify if:
- Physicians with or without experience in colonoscopy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University hospital Würzburg b
Würzburg, Germany
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Alexander Hann, MD
Wuerzburg University Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Masking Details
- Participant does not know if pesented image is real or artificial
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 8, 2024
First Posted
August 7, 2025
Study Start
November 6, 2024
Primary Completion
February 1, 2025
Study Completion
February 1, 2025
Last Updated
August 7, 2025
Record last verified: 2025-08