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NCT05916014

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

Recruiting now Last updated 12 April 2024
What this trial tests

trial testing Diagnostic Test: The diagnosis of Artificial Intelligence and endosopists in Atrophic Gastritis in 1,500 participants. Currently enrolling.

Timeline
1 June 2023
Primary endpoint
31 December 2024
31 December 2024

Quick facts

Lead sponsorShandong University
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment1,500
Start date1 June 2023
Primary completion31 December 2024
Estimated completion31 December 2024
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Shandong University

Who can join

Adults 18 to 80, any sex, with Atrophic Gastritis or Artificial Intelligence. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Current Role of Artificial Intelligence in the Management of Gastric Cancer.
    Liatsou E, Driva TS, Vergadis C, Sakellariou S, et al · · 2025 · PMID 41462951 · DOI 10.3390/biomedicines13122939

Verify or expand the search:

Other recruiting trials for Atrophic Gastritis

Currently open trials in the same condition.

Other Shandong University trials

Trials by the same sponsor.

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Data sources for this page

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