NCT05479617

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

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 400 (estimated)
• Sponsor: Copenhagen University Hospital, Hvidovre · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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

Conditions

• Ulcerative Colitis

Interventions

Type	Name	Description
OTHER	Deep learning model	Use of deep learning model to predict individual patients disease course

Timeline

• Start date: 2022-06-20
• Primary completion: 2025-12-01
• Completion: 2026-07-01
• First posted: 2022-07-29
• Last updated: 2025-02-27

Locations

1 site across 1 country: Denmark