AI reads your gut scans to spot disease without a scope
NCT ID NCT07087418
First seen Apr 23, 2026 · Last updated Jun 21, 2026 · Updated 11 times
Summary
This study is developing an artificial intelligence system that analyzes CT and MRI scans to diagnose and predict outcomes for digestive diseases like Crohn's disease, ulcerative colitis, and intestinal tuberculosis. Researchers are using data from 21 hospitals in China to train the AI, and will test it in two additional hospitals. The goal is to create a noninvasive tool that could reduce the need for colonoscopies and help doctors make faster, more accurate decisions.
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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XploreMET v3.0 system
RECRUITINGShanghai, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI diagnostic model using CT and MR imaging
What this could lead to
If successful, this could provide a noninvasive way to diagnose and predict the course of digestive diseases, potentially reducing the need for colonoscopies.
What could go wrong
This is an observational study, not a treatment trial. The AI model may not perform as well in real-world settings or in different populations, and it is still being tested for accuracy.
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.