Comparing AI-assisted endoscopy to traditional endoscopy for detecting gastric tumors
Computer-aided Gastric Lesion Localization and Miss Rate of Gastric Neoplasms: a Tandem, Randomized Controlled Study
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
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 1000 (estimated) |
| Ages | 40 Years and up |
| Sex | All |
| Sponsor | The University of Hong Kong Academic / other |
| Locations | 1 site (Hong Kong) |
| Trial ID | NCT06495645 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are patients aged 40 or older who are scheduled for elective upper endoscopy.
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.
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 performed: Other studies have shown promise in using AI-assisted techniques for endoscopy, suggesting potential for success in this approach.
Eligibility criteria
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 this trial is running
Hong Kong
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.