Using AI to improve adenoma detection rates in gastroenterology trainees
Impact of Artificial Intelligence on Trainee Adenoma Detection Rate
This study tests if using artificial intelligence can help gastroenterology trainees find more polyps during colonoscopies to improve colorectal cancer prevention.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 25 (estimated) |
| Sex | All |
| Sponsor | University of Southern California Academic / other |
| Locations | 1 site (Los Angeles, California) |
| Trial ID | NCT05423964 on ClinicalTrials.gov |
What this trial studies
This study aims to evaluate the impact of artificial intelligence (AI) on the adenoma detection rate (ADR) among gastroenterology trainees during colonoscopy procedures. By randomly assigning fellows to either AI-assisted or standard endoscopy rooms, the study will measure how AI can enhance the detection of polyps, which is crucial for improving colorectal cancer outcomes. Additionally, the study will assess the recording of quality improvement metrics compared to historical performance. Educational sessions will be provided to ensure fellows are familiar with the AI software and quality metrics before participation.
Who should consider this trial
Good fit: Ideal candidates for this study are gastroenterology fellows at USC who are actively performing endoscopies.
Not a fit: Patients who are not gastroenterology fellows or those who refuse informed consent will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could significantly enhance the training of gastroenterology fellows, leading to improved detection rates of colorectal cancer.
How similar studies have performed: Other studies have shown promising results with AI in endoscopy, suggesting that this approach could lead to significant improvements in adenoma detection rates.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * All Gastroenterology fellows at USC performing Endoscopies will be included in the study. Exclusion Criteria: * If fellows refuse informed consent they will be excluded. * Procedures performed in the intensive care unit or the operating room will not be counted toward the study metrics as the AI system will only be available in the endoscopy unit. * If procedures are performed only by faculty, in which the fellow is not the primary operator, they will not be used for study metrics.
Where this trial is running
Los Angeles, California
- LAC+USC Medical Center — Los Angeles, California, United States (Recruiting)
Study contacts
- Principal investigator: James L Buxbaum, MD — University of Southern California
- Study coordinator: Jessica Serna, BS
- Email: Jessica.Serna@med.usce.edu
- Phone: 323-409-6939
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.