AI may predict ulcerative colitis severity before a scope — a study puts it to the test
NCT ID NCT07721987
First seen Jul 23, 2026 · Last updated Jul 24, 2026 · Updated 1 time
Summary
This study is testing whether a machine learning model can predict the extent of ulcerative colitis (UC) in the colon using only symptoms, physical signs, and lab results — before a colonoscopy is done. Researchers will analyze data from 1,500 people with UC to build and validate the model. If it works, it could provide an early estimate of disease spread, but it is not designed to replace colonoscopy or biopsy.
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 model could help doctors estimate disease extent earlier, potentially guiding treatment decisions before a colonoscopy.
- What could go wrong
- This is an observational study, not a treatment trial. The model may not be accurate enough for real-world use and is not meant to replace colonoscopy.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for ULCERATIVE COLITIS (DISORDER) are added.
By submitting, you agree to our Terms of use
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.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a biologic drug calm the gut in ulcerative colitis? a Real-World trial seeks answers
- New oral drug for inflammatory bowel disease enters first human tests
- Could a yeast and butyrate mix keep UC in check?
- Can a medical food fight malnutrition in IBD?
- New Dye-Free colonoscopy could make cancer screening easier for IBD patients
- New pill hopes to tame ulcerative colitis in older adults