AI-Assisted endoscopy aims to reduce missed stomach lesions
NCT ID NCT06495645
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study compares AI-assisted upper endoscopy to standard high-definition endoscopy in 1,000 adults aged 40 and older who are scheduled for a routine upper endoscopy. The goal is to see if the AI tool helps doctors find more gastric neoplasms (abnormal growths) that might otherwise be missed. Participants will undergo two examinations in a row, and the number of growths found in each will be compared.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI-assisted upper gastrointestinal endoscopy device
What this could lead to
If successful, this could show that AI helps doctors spot more early stomach growths during routine endoscopy, potentially leading to earlier detection.
What could go wrong
This is a single-center study with 1,000 participants, and AI may not work equally well in all settings or populations. The AI tool is an aid, not a replacement for the doctor's judgment.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Queen Mary Hospital, the University of Hong Kong
RECRUITINGHong Kong, Hong Kong
Contact Phone: •••-•••-•••• Email: •••••@•••••