Efficacy of an AI System in Training Endoscopists to Assess Gastric Intestinal Metaplasia Via the EGGIM Score
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-assisted EGGIM scoring, Conventional EGGIM scoring.
- Who it may be relevant to
- Registry conditions: Gastric Intestinal Metaplasia. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Efficacy of an AI System in Training Endoscopists to Assess Gastric Intestinal Metaplasia Via the EGGIM Score: A Randomized Controlled Trial
Overview
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.
Interventions
- 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.
Primary outcome measures
- Efficacy of the EGGIM-AI system for improving endoscopists' EGGIM scoring performance [Time frame: Through study completion, an average of 3 months]
Secondary outcome measures (1)
- Performance of EGGIM scoring by endoscopists with varying experience levels [Time frame: Through study completion, an average of 3 months]
Eligibility criteria
Inclusion criteria
Endoscopists who have performed ≥50 image-enhanced endoscopy (IEE) procedures per year and demonstrated competency in performing standardized IEE.
Exclusion criteria
Endoscopists who participated in data acquisition or were unblinded to patients' identifiable information and clinical data.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Crossover
- Masking
- Single blind
- Primary purpose
- Diagnostic
Study locations
China · 1 center
- Qilu Hospital of Shandong University — Jinan
Identifiers
NCT: NCT07208864 · 2025SDU-QILU-4