Endoscopic Severity Image Recognition to Advance Research and Training in Inflammatory Bowel Disease (EVEREST - IBD)
Recruiting now
Conditions studied: Inflammatory Bowel Disease 1
In brief
To develop and train a convolutional neural network to detect and characterize disease severity of inflammatory bowel disease during endoscopy
Key facts
- Study ID
- NCT04867408
- Run by
- Hull University Teaching Hospitals NHS Trust
- People needed
- 4000
- Starts
- 2021-09-17
- Expected to finish
- 2031-09-01
- Last updated by the study team
- 2024-11-15
Who can join
Age: 16 and older, up to 99. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- • Any adult patient aged 16 years or older who has consented to undergo endoscopic investigation where images are captured as part of routine clinical care.
You may not qualify if…
- • Any patient under the age of 16
- Patients who are unable to give informed consent to undergo endoscopic investigation or those who do not wish their pseudo-anonymised images to be used
Where it is running
- Hull Royal Infirmary — Hull, East Yorkshire, United Kingdom (enrolling)
Full record on ClinicalTrials.gov
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