Status:
NOT_YET_RECRUITING
Optical Diagnosis of Neoplasia Using Artificial Intelligence
Lead Sponsor:
Fundacin Biomedica Galicia Sur
Conditions:
Polyps Colorectal
Colonoscopy
Eligibility:
All Genders
18+ years
Phase:
NA
Brief Summary
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 cogni...
Detailed Description
Computer-Aided Diagnosis and cognitive forcing Computer-aided diagnosis (CADx) for colonoscopy is expected to improve physicians' ability to predict colorectal polyp pathologies (optical diagnosis). H...
Eligibility Criteria
Inclusion
- 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.
Exclusion
Key Trial Info
Start Date :
September 1 2025
Trial Type :
INTERVENTIONAL
Allocation :
ESTIMATED
End Date :
December 1 2025
Estimated Enrollment :
70 Patients enrolled
Trial Details
Trial ID
NCT07158203
Start Date
September 1 2025
End Date
December 1 2025
Last Update
September 5 2025
Active Locations (2)
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1
Clinical Effectiveness Research Group
Oslo, Norway, 0424
2
Research Group in Gastrointestinal Oncology Ourense
Ourense, Spain, 32005