Impact of AI on Trainee ADR

Status unconfirmed · Not applicable

Conditions studied: Adenoma, Adenoma Colon, Colorectal Cancer

In brief

Adenoma detection rate (ADR) is a validated quality metric for colonoscopy with higher ADR correlated with improved colorectal cancer outcomes. Artificial intelligence (AI) can automatically detect polyps on the video monitor which may allow endoscopists in training to improve their ADR. Objective and Purpose of the study: Measure the effect of AI in a prospective, randomized manner to determine its impact on ADR of Gastroenterology trainees.

Key facts

Study ID

NCT05423964

Run by

University of Southern California

People needed

25

Starts

2023-01-01

Expected to finish

2025-09-01

Last updated by the study team

2023-03-06

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• All Gastroenterology fellows at USC performing Endoscopies will be included in the study.

You may not qualify if…

• 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 it is running

• LAC+USC Medical Center — Los Angeles, California, United States (enrolling)

Full record on ClinicalTrials.gov

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