Plain-English translation of NCT04840056 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing an artificial intelligence system to help predict which patients with precancerous stomach conditions—specifically intestinal metaplasia and atrophic gastritis—are most likely to develop stomach cancer. The study will analyze medical records and stomach tissue samples collected over the past 20 years, using machine learning to identify patterns that could help doctors catch cancer risk earlier. This AI-powered approach could eventually help doctors provide better, more personalized monitoring for at-risk patients.
Some patients with precancerous stomach changes develop cancer while others do not, but doctors currently lack reliable tools to predict who is at highest risk. This research aims to use artificial intelligence to find hidden patterns in medical data and tissue samples that could identify high-risk patients sooner, before cancer develops.
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This is a retrospective study, meaning researchers will review your existing medical records and past stomach biopsy samples that have already been collected—you will not need to have new procedures or visits. Researchers will gather your clinical information from hospital records spanning 2000–2020 and use digital imaging of your previous stomach tissue samples to train and test their artificial intelligence system. There is no active treatment or ongoing monitoring required from you as a participant.
AI-generated summary from trial data · Jun 13, 2026 · Not medical advice
Hong Kong
Sponsor
Chinese University of Hong Kong
Enrollment target
~1,300 participants
Started
April 2021
Primary completion
December 2025
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years and older
Last updated on clinicaltrials.gov in August 2024.
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Central contact
Felix Sia
Chinese University of Hong Kong
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