AI-Driven Multimodal Imaging Integration for Diagnosis and Prognostication of Digestive System Diseases
Recruiting
Observational Study
Digestive Diseases
Radiology
AI (Artificial Intelligence)
Imaging
Healthy Volunteers Welcome
You do not need to have the condition being studied to take part.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Sex
- Any
- Study type
- Observational
- Participants needed
- 5,000 (estimated)
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University · Other
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About This Trial
The goal of this observational, retrospective and prospective study is to develop a noninvasive disease assessment system by leveraging artificial intelligence (AI) to comprehensively analyze multi-modal imaging features, including magnetic resonance enterography (MRE) and computed tomography enterography (CTE), for the diagnosis and prognostication of digestive diseases. To this end, the investig…
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
* Patients with multimodal-confirmed diagnoses (clinical, imaging, endoscopic, and pathological) of:
* Inflammatory bowel disease (IBD; Crohn's disease or ulcerative colitis)
* Intestinal tuberculosis
* Behçet's disease
* Availability of ≥1 technically adequate CT or MR s…
Contacts