Clinical Trial

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

Recruiting
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.
Summary
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.
Protocol Amendment History 2 amendments
This ClinicalTrials.gov record has been amended 2 times since 2025-07-20; most recent amendment 2026-04-08.
Trial Details
NCT Number NCT07087418
Lead Sponsor First Affiliated Hospital, Sun Yat-Sen University
Conditions Digestive Diseases, Radiology, AI (Artificial Intelligence), Imaging
Enrollment 5,000 participants
Start Date 2025-07-01
Primary Completion 2026-08-01 (estimated)
Study Completion 2026-08-01 (estimated)
Updated on ClinicalTrials.gov 2026-04-13