Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project (Presager II)

Copenhagen University Hospital, Hvidovre

Status: Enrolling

Conditions: Ulcerative Colitis

Treatments: Other: Deep learning model

Study type: Observational

Funder types: Other

Identifiers

NCT05479617

H-21020965

Details and patient eligibility

About

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

Enrollment: 400 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion 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