AI reads scans to forecast Crohn's complications
NCT ID NCT07757217
First seen Aug 11, 2026 · Last updated Aug 12, 2026 · Updated 1 time
Summary
This study is testing whether an artificial intelligence system can more accurately classify small bowel Crohn's disease and predict how patients will fare over the next year. Researchers will analyze existing CT or MRI scans from 437 patients, combining imaging features with clinical, lab, and other data. The goal is to see if this AI approach can identify who might respond to medical treatment, who might need to switch therapies, and who may require surgery. This is an observational study, so no treatments are given; it aims to build a decision-support tool for doctors.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence-based multimodal analysis of existing imaging and clinical data
- What this could lead to
- If successful, this could lead to a tool that helps doctors personalize treatment decisions for small bowel Crohn's disease, potentially improving outcomes and reducing unnecessary surgeries.
- What could go wrong
- This is a retrospective observational study, so it cannot prove cause and effect. The AI model's accuracy may be limited by the quality and completeness of existing medical records, and results may not generalize to other hospitals or populations.
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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
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The Tenth People's Hospital of Shanghai
Shanghai, Shanghai Municipality, 201505, China
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