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RECRUITING
NCT07078136

Multicenter Observational Study of Multimodal AI for Upper GI Mesenchymal Tumor Diagnosis

Sponsor: Huazhong University of Science and Technology

View on ClinicalTrials.gov

Summary

This study develops a multimodal AI model using endoscopic ultrasound, white-light endoscopy, and clinical information to support the diagnosis of upper GI mesenchymal tumors and the risk stratification of gastric GISTs.

Official title: Multicenter Observational Study of a Multimodal AI Model Using EUS, White-Light Endoscopy, and Clinical Data for Diagnosis of Upper GI Mesenchymal Tumors and Risk Stratification of Gastric GISTs

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

130

Start Date

2025-07-28

Completion Date

2026-06

Last Updated

2025-07-31

Healthy Volunteers

No

Interventions

DIAGNOSTIC_TEST

Multimodal AI Model

Patients' endoscopic images, EUS images, and clinical data will be analyzed by a multimodal AI model for lesion classification and GIST risk stratification.

DIAGNOSTIC_TEST

Expert Endoscopist Assessment

Endoscopic ultrasound images will be interpreted by experienced endoscopists for comparison with the AI model.

Locations (1)

Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology

Wuhan, Hubei, China