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Recruiting NCT05479617
Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project
Trial Parameters
Condition Ulcerative Colitis
Sponsor Copenhagen University Hospital, Hvidovre
Study Type OBSERVATIONAL
Phase N/A
Enrollment 400
Sex ALL
Min Age 18 Years
Max Age N/A
Start Date 2022-06-20
Completion 2025-12
Interventions
Deep learning model
Brief Summary
In patients achieving clinical remission following a flare, artificial intelligence can reliably predict a new flare within the next 12 months utilizing clinical and objective information at day 0 and week 8. Secondary endpoints: * An artificial intelligence model's precision in predicting a new flare within 2 and 3 years * An artificial intelligence model's precision to rule out patients who will not experience a new flare within 1, 2 and 3 year
Eligibility Criteria
Inclusion criteria: * Signed informed consent * Diagnosis of UC for at least 1 year * Relapse due to UC. * First endoscopic and histological evaluation of the flare Exclusion criteria * Well-founded doubt that the flare is due to other than the patients UC
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