Ulcerative Colitis
Conditions
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
Interventions
OTHERDeep learning model
Use of deep learning model to predict individual patients disease course
Sponsors
Copenhagen University Hospital, Hvidovre
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Flare I | within 1 year | Evaluate the accuracy in predicting a flare within 1 year after the patient's initial flare using machine learning methods. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Flare II | within 2 years | Evaluate the accuracy in predicting a flare within 2 years, after the patient's initial flare, using machine learning methods. |
| Flare III | within 3 years | Evaluate the accuracy in predicting a flare within 3 years, after the patient's initial flare, using machine learning methods. |
Countries
Denmark
Outcome results
None listed