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Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion
Sponsor: National Taiwan University Hospital
Summary
The aim of this study is to evaluate the impact of artificial intelligence (AI) assistance during routine upper endoscopy on gastric cancer-specific mortality. We hypothesize that AI-assisted endoscopic interpretation can further reduce gastric cancer-related mortality through two mechanisms: (1) improved detection of H. pylori infection, facilitating timely eradication therapy and subsequent prevention of gastric carcinogenesis; and (2) earlier identification of premalignant gastric conditions, enabling appropriate surveillance endoscopy and earlier detection of gastric cancer. The primary endpoint is gastric cancer-specific mortality.
Official title: Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion: A Randomized Clinical Trial
Key Details
Gender
All
Age Range
20 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
6000
Start Date
2021-12-24
Completion Date
2028-12-31
Last Updated
2026-06-24
Healthy Volunteers
No
Interventions
Routine endoscopy with artificial intelligence-assisted interpretation
(1) Improved detection of H. pylori infection, leading to timely eradication therapy. (2) Earlier identification of premalignant gastric conditions, facilitating appropriate surveillance endoscopy.
Locations (1)
Yi-Chia Lee
Taipei, Taiwan