Predicting disease flares in ulcerative colitis using artificial intelligence

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to utilize a deep learning model to predict the likelihood of a new flare in patients with ulcerative colitis who have achieved clinical remission. By analyzing clinical and objective data collected at the start and after eight weeks, the study seeks to provide accurate predictions for flare-ups within the next 12 months, as well as over two and three years. The model will also assess its ability to identify patients who are unlikely to experience a flare during these timeframes.

Why it matters

Who can join: the full rules

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

Where it's running

• Gastrounit, medical section, Copenhagen University Hospital Hvidovre
  Hvidovre, Denmark, Denmark Recruiting

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.