Using AI to assess severity in inflammatory bowel disease during endoscopy
EVEREST - IBD: Endoscopic Severity Image Recognition to Advance Research and Training in Inflammatory Bowel Disease
This study is testing if artificial intelligence can help doctors better see and understand the severity of inflammatory bowel disease during endoscopy to improve patient care.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 4000 (estimated) |
| Ages | 16 Years to 99 Years |
| Sex | All |
| Sponsor | Hull University Teaching Hospitals NHS Trust Government |
| Locations | 1 site (Hull, East Yorkshire) |
| Trial ID | NCT04867408 on ClinicalTrials.gov |
What this trial studies
This study aims to develop and train a convolutional neural network (CNN) to detect and characterize the severity of inflammatory bowel disease (IBD) during endoscopic procedures. By creating a large image database from endoscopic images, the study seeks to enhance deep learning and computer-aided diagnosis in IBD. The initiative will also focus on improving the quality of endoscopy, reducing inter-observer variability in disease assessment, and lowering missed bowel cancer rates. Ultimately, the goal is to produce impactful research outcomes and training resources for healthcare professionals.
Who should consider this trial
Good fit: Ideal candidates include adults aged 16 years or older who are undergoing endoscopic investigation for inflammatory bowel disease.
Not a fit: Patients under the age of 16 or those unable to provide informed consent will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved accuracy in diagnosing and assessing inflammatory bowel disease, ultimately enhancing patient care.
How similar studies have performed: Other studies utilizing deep learning for medical image analysis have shown promising results, indicating potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * • 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. Exclusion Criteria: * • 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 this trial is running
Hull, East Yorkshire
- Hull Royal Infirmary — Hull, East Yorkshire, United Kingdom (Recruiting)
Study contacts
- Principal investigator: Shaji Sebastian — Hull University Teaching Hospitals NHS Trust
- Study coordinator: Shaji Sebastian
- Email: shaji.sebastian@hey.nhs.uk
- Phone: 01482 816764
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.