Testing AI Timing Support for Spotting Colon Polyps During Colonoscopy
Tests when an AI tool shows its suggestions to doctors judging small colon polyps.
Plain-language title generated from the registry record
Registry title: Optical Diagnosis of Neoplasia Using Artificial Intelligence
Key facts
- Where
- Ourense, SpainSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for endoscopists who have done more than 100 colonoscopies. They will watch 100 short polyp videos with an AI tool and give their diagnosis.
- Age
- 18 Years and older
- Sex
- All sexes can join.
- Earlier treatment
- Must have done more than 100 colonoscopies.
Main reasons for not taking part
- Endoscopists who helped write the protocol of this study
Read by machine on 12 November 2026.
Where in Spain
- Research Group in Gastrointestinal Oncology OurenseOurense, SpainContact: Pedro Davila, Master Degree in biotechnologyNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Fundacin Biomedica Galicia Sur
- Trial code
- NCT07158203
- Record updated
- 3 September 2026
- Original description
Computer-aided diagnosis (CADx) for colonoscopy aims to enhance optical diagnosis but often underperforms when used alongside humans due to under-reliance on AI. Psychological interventions like cognitive forcing, such as delaying CADx suggestions, may improve human-AI interaction by fostering critical assessment. However, their impact on patient-important outcomes remains unexplored.Read full original descriptionShow less
Assistance for Optical Diagnosis of Neoplasia Using Artificial Intelligence (FAIR Study)
Computer-aided diagnosis (CADx) for colonoscopy aims to enhance optical diagnosis but often underperforms when used alongside humans due to under-reliance on AI. Psychological interventions like cognitive forcing, such as delaying CADx suggestions, may improve human-AI interaction by fostering critical assessment. However, their impact on patient-important outcomes remains unexplored.
The investigators will conduct an ex-vivo randomized study with 70 endoscopists assessing 100 polyp videos (≤5 mm) using a CADx tool (GI Genius, Medtronic). Participants will be randomized to either:
* Intervention group: CADx suggestions will be shown in the last 3 seconds of the 15 second polyp video. * Control group: CADx suggestions will be shown in real-time throughout the playback of the 15 second polyp video.
The primary endpoint is sensitivity for high-confidence neoplasia detection, with secondary endpoints assessing endoscopists' reliance on AI.
CADx systems on the market function in various ways, such as real-time, delayed, or on-demand diagnosis. Our study aims to inform users and manufacturers whether cognitive forcing through delayed CADx suggestions enhances human-AI interaction, leading to improved clinical outcomes.
Endoscopists who meet the following inclusion/exclusion criteria Inclusion criteria; Endoscopists experienced with more than 100 colonoscopies. Exclusion criteria; Endoscopists who are involved in the development of the protocol of the present study; Inclusion and exclusion criteria for the study videos. Inclusion criteria; Videos with a duration of 15 seconds including both WL and NBI; Videos with diminutive polyps with confirmed pathology. Exclusion criteria; Videos with no clear image of the polyps; Videos with more than one polyp on-screen; Inflammatory bowel disease; Polyposis; Hereditary colorectal disease; Videos which CADx cannot provide sufficient number of outputs.