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
Signed informed consent
Diagnosis of UC for at least 1 year
Relapse due to UC.
First endoscopic and histological evaluation of the flare
Well-founded doubt that the flare is due to other than the patients UC
This is a prospective cohort of a total of 400 UC patients with an active flare
Cohort
Prospective
Deep learning model
Other interventionUse of deep learning model to predict individual patients disease course
Flare I
Evaluate the accuracy in predicting a flare within 1 year after the patient's initial flare using machine learning methods.
Flare II
Evaluate the accuracy in predicting a flare within 2 years, after the patient's initial flare, using machine learning methods.
Flare III
Evaluate the accuracy in predicting a flare within 3 years, after the patient's initial flare, using machine learning methods.
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