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AI-assisted White Light Endoscopy to Identify the Kimura-Takemoto Classification of Atrophic Gastritis

RECRUITINGSponsored by Shandong University
Actively Recruiting
SponsorShandong University
Started2023-06-01
Est. completion2024-12-31
Eligibility
Age18 Years – 80 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT05916014

Summary

Grading endoscopic atrophy according to the Kimura-Takemoto classification can assess the risk of gastric neoplasia development. However, the false negative rate of chronic atrophic gastritis is high due to the varying diagnostic standardization and diagnostic experience and levels of endoscopists. Therefore, this study aims to develop an AI model to identify the Kimura-Takemoto classification.

Eligibility

Age: 18 Years – 80 YearsHealthy volunteers accepted
Inclusion Criteria:

Patients aged 18-80 years who undergo the white light endoscope examination Informed consent form provided by the patient.

Exclusion Criteria:

1. patients with severe cardiac, cerebral, pulmonary or renal dysfunction or psychiatric;
2. disorders who cannot participate in gastroscopy;
3. Patients with progressive gastric cancer;
4. low quality pictures;
5. patients with previous surgical procedures on the stomach or esophageal;
6. patients who refuse to sign the informed consent form;

Conditions4

Artificial IntelligenceAtrophic GastritisCancerEndoscopy

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