AI-Driven Multimodal Imaging Integration for Diagnosis and Prognostication of Digestive System Diseases
Sponsor: First Affiliated Hospital, Sun Yat-Sen University
Trial Details
| Condition | Digestive Diseases, Radiology, AI (Artificial Intelligence), Imaging |
| Intervention | Virtual endoscopy model-assisted diagnosis |
| Status | Recruiting |
| Participants | 5,000 |
| Est. Completion | 1 Aug 2026 |
| Last Updated | 13 Apr 2026 |
Primary Outcome
The area under the ROC curve (AUC) to assess the performance of diagnostic model.
Eligibility Criteria
Inclusion 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 scan with high-quality colonoscopy performed within ±1 month of imaging. Exclusion Criteria: * ・Suboptimal imaging quality (e.g., low-dose artifacts, metal artifacts) * Inadequate bowel preparation for endoscopy * Incomplete examinations due to poor tolerance
Trial Sites
Countries
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