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AI-Driven Multimodal Imaging Integration for Diagnosis and Prognostication of Digestive System Diseases

StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated April 13, 2026 (before its estimated August 1, 2026 completion). Its status may not reflect the trial's current state.

Record History

  1. Minor Re-verified, no change to tracked fieldsv3
  2. Minor Interventions: Kaplan-Meier analysis with log-rank testing (Diagnostic Test) to Virtual endoscopy model-assisted diagnosis (Diagnostic Test)
    • Study arms: 2 to 0
    v2
  3. Minor Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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 investigators retrospectively enrolled imaging, endoscopic, and clinical data from 21 centers across China to construct and iteratively optimize the AI model. The model's performance will be prospectively validated in two centers, and its accuracy in lesion localization will be verified through real-world deployment in endoscopy suites.
Trial Details
NCT Number NCT07087418
Lead Sponsor First Affiliated Hospital, Sun Yat-Sen University
Conditions
(from sponsor)
Digestive Diseases, Radiology, AI (Artificial Intelligence), Imaging
Related terms Digestive System Diseases
Enrollment 5,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov