Plain-English translation of NCT06495645 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
Researchers are testing whether computer-aided artificial intelligence can help doctors spot early stomach cancers more reliably than standard high-definition endoscopy alone. In this study, you would receive two back-to-back stomach screenings on the same day—one using an AI-assisted system and one using standard high-definition imaging—to see which method catches more early cancers.
Even experienced doctors sometimes miss early stomach cancers during routine endoscopy screening, and this can delay treatment. This trial is testing whether artificial intelligence can improve detection rates and help catch cancers earlier, when they are most treatable.
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You would fast for at least 6 hours before your visit. On the same day, a trained endoscopist would perform two back-to-back upper endoscopies using a thin camera—first with one method (either AI-assisted or standard high-definition), then immediately with the other method. The doctors will compare how many early cancers or concerning lesions each method detects. You would be kept comfortable during the procedures, and the whole process happens in a single visit.
AI-generated summary from trial data · Jun 4, 2026 · Not medical advice
Hong Kong
The University of Hong Kong
Enrollment target
~1,000 participants
Started
November 2024
Primary completion
September 2026
Age range
40 Years and older
Last updated on clinicaltrials.gov in November 2025.
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Central contact
Thomas Ka-Luen Lui
The University of Hong Kong
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.