Comparing AI-assisted endoscopy to traditional endoscopy for detecting gastric tumors
Official title: Computer-aided Gastric Lesion Localization and Miss Rate of Gastric Neoplasms: a Tandem, Randomized Controlled Study
Run by The University of Hong Kong · NCT06495645 · Data updated 2026-11-12
This study is testing if using artificial intelligence during endoscopy can help doctors find stomach tumors better than traditional methods for people needing this type of examination.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years and up |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | The University of Hong Kong Academic / other |
| Locations | 1 site (Hong Kong) |
| Status | Recruiting |
| Started | November 1, 2024 |
| Main results expected | September 1, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | November 20, 2025 |
| Trial ID | NCT06495645 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients aged 40 or older who are scheduled for elective upper endoscopy.
✕Probably not a fit
Patients who may not benefit include those who are pregnant, unable to provide consent, have had prior gastrectomy, or are deemed unsuitable for endoscopy due to severe comorbidities.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical trial evaluates the effectiveness of AI-assisted upper gastrointestinal endoscopy compared to high-definition endoscopy in detecting gastric neoplasms. Patients will be randomly assigned to receive either AI-assisted endoscopy followed by high-definition endoscopy or vice versa. The study aims to determine if the AI-assisted method reduces the miss rate of gastric tumors. Experienced endoscopists will be trained in using the AI detection system, and patient consent will be obtained prior to participation.
Why it matters
Potential benefit: If successful, this approach could lead to improved detection rates of gastric neoplasms, potentially resulting in earlier diagnosis and better patient outcomes.
How similar studies have gone: Other studies have shown promise in using AI-assisted techniques for endoscopy, suggesting potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients aged 40 or older * Scheduled for elective upper endoscopy Exclusion Criteria: * Pregnant women, * Inability to provide written informed consent * Prior gastrectomy, and * Patients deemed unsuitable or high-risk for endoscopy with severe comorbid illnesses
Where it's running
-
Queen Mary Hospital, the University of Hong Kong
Hong Kong, Hong Kong Recruiting
Study contacts
- Principal investigator: Thomas Ka-Luen Lui — The University of Hong Kong
- Study coordinator: Thomas Ka-Luen Lui
- Email: tkllui@hku.hk
- Phone: +852 97360997
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.