NCT07208864

Efficacy of an AI System in Training Endoscopists to Assess Gastric Intestinal Metaplasia Via the EGGIM Score

Efficacy of an AI System in Training Endoscopists to Assess Gastric Intestinal Metaplasia Via the EGGIM Score: A Randomized Controlled Trial

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 8 (estimated)
• Sponsor: Qilu Hospital of Shandong University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

This prospective randomized controlled trial with a crossover design incorporated image-enhanced endoscopy (IEE) videos demonstrating complete standardized examinations of five standard gastric areas (antrum greater curvature, antrum lesser curvature, incisura, corpus lesser curvature, and corpus greater curvature). Endoscopists were stratified by experience level and randomly assigned to either the AI-assisted scoring first group, which performed EGGIM scoring with AI assistance in the initial phase followed by conventional scoring after a washout period, or the conventional scoring first group, which completed the assessments in reverse order. The study primarily evaluated the training efficacy of the EGGIM-AI system for improving endoscopists' EGGIM scoring performance by comparing diagnostic accuracy metrics including the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity between groups at different study phases, with histopathological results serving as the gold standard.

Conditions

• Gastric Intestinal Metaplasia

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	AI-assisted EGGIM scoring	Endoscopists will evaluate the videos with the assistance of the AI system via EGGIM score.
DIAGNOSTIC_TEST	Conventional EGGIM scoring	Endoscopists will evaluate the videos without the assistance of the AI system via EGGIM score.

Timeline

• Start date: 2025-11-30
• Primary completion: 2026-05-31
• Completion: 2026-12-31
• First posted: 2025-10-06
• Last updated: 2025-12-05

Locations

1 site across 1 country: China