Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion

Recruiting now

Conditions studied: Helicobacter Pylori Infection, Premalignant Lesion

In brief

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.

Key facts

Study ID

NCT05762991

Run by

National Taiwan University Hospital

People needed

6000

Starts

2021-12-24

Expected to finish

2028-12-31

Last updated by the study team

2026-06-24

Who can join

Age: 20 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age 20-80
• Scheduled endoscopy

You may not qualify if…

• History of gastric surgery

Where it is running

• Yi-Chia Lee — Taipei, Taiwan (enrolling)

Full record on ClinicalTrials.gov

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