Clinical Research Directory
Browse clinical research sites, groups, and studies.
AI-assisted White Light Endoscopy to Identify the Kimura-Takemoto Classification of Atrophic Gastritis
Sponsor: Shandong University
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.
Official title: Artificial Intelligence-assisted White Light Endoscopy to Identify the Kimura-Takemoto Classification of Atrophic Gastritis to Achieve Gastric Cancer Risk Assessment
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
1500
Start Date
2023-06-01
Completion Date
2024-12-31
Last Updated
2024-04-12
Healthy Volunteers
No
Interventions
Diagnostic Test: The diagnosis of Artificial Intelligence and endosopists
Endosopists and AI will assess the Kimura-Takemoto classification independently when the patients is eligible.
Locations (1)
Department of Gastrology, QiLu Hospital, Shandong University
Shangdong, Shandong, China