EligibleTrials

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

Recruiting · NCT06709209 · Observational (researchers observe without assigning treatment) · Lead sponsor: University College Cork

View the official record on ClinicalTrials.gov →
Ulcerative colitis

Interventions studied

Clinical follow-upColonoscopy after bowel cleansingIntestinal biopsiesStoolblood sampling

What this trial is about

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.

Who can take part

Age range
18 Years to 75 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)

Inclusion criteria

Exclusion criteria

Where it is running

11 locations listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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