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AI could sharpen IBD diagnosis by analyzing scans and videos

NCT ID NCT05000242

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at 200 people with known or suspected inflammatory bowel disease (IBD). Researchers will use computers to analyze standard medical images and videos from endoscopies, biopsies, and scans. The goal is to create automated metrics that might help doctors assess IBD more consistently and accurately in the future.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to more accurate and automated ways to assess inflammatory bowel disease using existing medical images and videos.
What could go wrong
This is an observational study, not testing a treatment. The computer metrics may not prove better than human assessment, and results may not change clinical practice soon.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

200 people

The number who actually took part.

Started

Jan 2022

Expected to finish

Sep 2026

An estimate. End dates often move.

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

This research aims to develop digital tools specifically to aid patients with: 1. Left sided, extensive or Pan-colonic Ulcerative colitis, undergoing flexible sigmoidoscopy or colonoscopy 2. PaIleocolonic or colonic Crohn's disease undergoing flexible sigmoidoscopy or colonoscopy 3. Post-operative Crohn's disease undergoing colonoscopic assessment of surgical anastomosis 4. Ileal Crohn's disease undertaking or having previously undertaken small bowel CT or MRI 5. Crohn's disease with perianal disease undergoing or having previously undertaking pelvic MRI 6. A previous admission for acute severe ulcerative colitis

Ages

18 to 80 years

Sex

Anyone

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Male or female aged 16 or over * Patients with known or suspected Inflammatory Bowel Disease scheduled to undergo clinical, endoscopic or radiological assessment * Patients with known Inflammatory Bowel Disease under ongoing clinical monitoring, who have previously undergone clinical, endoscopic or radiological assessments. * Participant willing and able to give informed consent for participation in the study Exclusion Criteria: * Participant who is, or suspects that they are, pregnant at the time of assessment * Any other cause, including significant disease or disorder which, in the opinion of the investigator, may either put the participant at risk because of participation in the study, or may influence the participant's ability to participate in the study

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • West Hertfordhsire Teaching Hospitals NHS Trust

    Watford, Hertfordshire, WD18 0HB, United Kingdom

More trials for these conditions

Other studies related to the condition(s) this trial covers.