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.
Age 20-80
Scheduled endoscopy
None
This study will invite patients who need to undergo upper gastrointestinal endoscopy.
Cohort
Prospective
Routine endoscopy with artificial intelligence-assisted interpretation
Other intervention(1) Improved detection of H. pylori infection, leading to timely eradication therapy. (2) Earlier identification of premalignant gastric conditions, facilitating appropriate surveillance endoscopy.
Gastric cancer-specific mortality
The primary endpoint is gastric cancer-specific mortality.
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