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Artificial Intelligence

AI-Assisted Colonoscopy for Colorectal Cancer Detection

N/A
Recruiting
Led By James L Buxbaum, MD
Research Sponsored by University of Southern California
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Must not have
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
Timeline
Screening 3 weeks
Treatment Varies
Follow Up throughout study, an average of 2 years
Awards & highlights
No Placebo-Only Group

Summary

This trial will use AI to measure if it can help improve the accuracy of detecting polyps in colonoscopies, with the potential to reduce colorectal cancer rates.

Who is the study for?
This trial is for Gastroenterology fellows at USC who perform endoscopies. They must agree to participate and give informed consent. Procedures in intensive care or operating rooms, or those done solely by faculty without the fellow as primary operator, are excluded.
What is being tested?
The study aims to see if using AI during colonoscopy helps trainees find more polyps compared to standard methods without AI. It's a randomized test where some will use AI assistance and others won't, measuring the adenoma detection rate (ADR).
What are the potential side effects?
Since this trial involves comparing different methods of performing endoscopies rather than testing drugs, it doesn't have typical side effects like medications do. However, there may be risks associated with any endoscopic procedure.

Eligibility Criteria

Exclusion Criteria

You may be eligible for the trial if you check “No” for criteria below:
Select...
My procedure will be in the endoscopy unit, not in intensive care or the operating room.

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~throughout study, an average of 2 years
This trial's timeline: 3 weeks for screening, Varies for treatment, and throughout study, an average of 2 years for reporting.

Treatment Details

Study Objectives

Study objectives can provide a clearer picture of what you can expect from a treatment.
Primary study objectives
Average adenoma detection rate
Secondary study objectives
Average of polyps detection rate

Awards & Highlights

No Placebo-Only Group
All patients enrolled in this study will receive some form of active treatment.

Trial Design

2Treatment groups
Active Control
Group I: Non-Artificial Intelligence Endoscopy RoomActive Control1 Intervention
The fellows will be randomized on a daily basis to perform colonoscopies in a non-AI endoscopy room (standard of care).
Group II: Artificial Intelligence Endoscopy RoomActive Control1 Intervention
The fellows will be randomized on a daily basis to perform colonoscopies in a room with AI (intervention)

Find a Location

Who is running the clinical trial?

University of Southern CaliforniaLead Sponsor
946 Previous Clinical Trials
1,604,594 Total Patients Enrolled
James L Buxbaum, MDPrincipal InvestigatorUniversity of Southern California
4 Previous Clinical Trials
2,682 Total Patients Enrolled

Media Library

AI use in Endoscopy Room (Artificial Intelligence) Clinical Trial Eligibility Overview. Trial Name: NCT05423964 — N/A
Improving Adenoma Detection Rate Research Study Groups: Non-Artificial Intelligence Endoscopy Room, Artificial Intelligence Endoscopy Room
Improving Adenoma Detection Rate Clinical Trial 2023: AI use in Endoscopy Room Highlights & Side Effects. Trial Name: NCT05423964 — N/A
AI use in Endoscopy Room (Artificial Intelligence) 2023 Treatment Timeline for Medical Study. Trial Name: NCT05423964 — N/A
~3 spots leftby Jun 2025
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