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
- Oslo, NorwaySee the site
Where in Norway
- Clinical Effectiveness Research GroupOslo, NorwayNo 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?
Trial 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.