Clinical Trial

AI-driven Narrow-band Imaging Score for Disease Assessment and Outcome Prediction in Ulcerative Colitis

Study acronym: MONET
Recruiting
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Summary
This international multicentre prospective study aims to develop a new simple score using enhanced endoscopic techniques which focus on the vascular features of the colon and reliably distinguish between a quiescent and a mild inflammation in ulcerative colitis (UC). The diagnostic performance of the new score in defining disease activity/remission compared to existing endoscopic and histological scores and predict long-term clinical outcomes will be evaluated. The study also aims to adapt current artificial intelligence (AI) algorithms for enhanced endoscopic techniques to improve standardization in UC disease assessment and outcome prediction.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2024-11-25.
Trial Details
NCT Number NCT06709209
Lead Sponsor University College Cork
Collaborators: Olympus
Conditions Ulcerative Colitis (UC)
Enrollment 300 participants
Start Date 2024-11-04
Primary Completion 2026-09-30 (estimated)
Study Completion 2027-09-30 (estimated)
Updated on ClinicalTrials.gov 2024-12-03