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

NCT07087418 · tracked via the Priya Life Science China tracker

Sponsor

First Affiliated Hospital, Sun Yat-Sen University

Phase

Observational

Started

2025-07-01

Last updated

2026-04-13

Condition(s) studied

Digestive DiseasesRadiologyAI (Artificial Intelligence)Imaging

Investigational drug(s) / intervention(s)

Virtual endoscopy model-assisted diagnosis

Virtual endoscopy model-assisted diagnosis: Using the virtual endoscopy model to aid diagnosis

Study 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.

Eligibility

Sex

ALL

Min age

—

Max age

—

Healthy volunteers

Accepted

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

Primary outcome measure(s)

The area under the ROC curve (AUC) to assess the performance of diagnostic model. — 6 months
After baseline MR or CT scanning, patients were followed up.

Trial sites (1)

Facility	City	Region	Status
XploreMET v3.0 system	Shanghai	China	Recruiting

More First Affiliated Hospital, Sun Yat-Sen University trials in China

Intrathecal Morphine for Postoperative Analgesia in Major Laparoscopic Abdominal Surgery, a IMPACT-Scope Trial Recruiting

Tissue-engineered Skin Graft Repair of Autologous Scar Dermal Scaffolds Recruiting

Integrated Ultrasound-Derived Fat Fraction and 2D/4D HeartAI for Cardiovascular Risk Management in Patients With MASLD Starting soon

Clinical Study of Rituximab Combined With Corticosteroids or Rituximab Monotherapy in the Treatment of Primary Membranous Nephropathy Recruiting

Research on the Safety and Efficacy of Blocking Dural Blood Supply in Glioblastoma Patients Recruiting

Other trials for the same condition

Deep Enhanced Imaging in Stroke and Vascular Neurology Recruiting

Three-in-One Stop Computed Topography Angiography(CTA) and CT Perfusion(CTP) in Cerebrovascular Disease Starting soon

AI Assistance for Detecting Active Bleeding During DSA Procedures Starting soon

Radiomics-Based Non-Invasive MRI Differentiation of Uterine Sarcomas and Fibroids Enrolling by invitation

Validation on Clinical Adaptability of the Foundation Model Specific to Neuroimaging Diagnosis Enrolling by invitation

Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07087418 on ClinicalTrials.gov ↗ ← All trials in China