MedTrace Logo

Impact of AI on Trainee ADR

NCT05423964 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 25

Last updated 2023-03-06

No results posted yet for this study

Summary

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.

Conditions

Interventions

DIAGNOSTIC_TEST

AI use in Endoscopy Room

The use of AI versus no AI in comparing the detection of adenomas during Endoscopy procedures.

OTHER

Non-AI use Standard of Care endoscopy room

Non-AI use in comparing the detection of adenomas during Endoscopy procedures.

Sponsors & Collaborators

  • University of Southern California

    lead OTHER

Principal Investigators

  • James L Buxbaum, MD · University of Southern California

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-01
Primary Completion
2025-06-30
Completion
2025-09-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05423964 on ClinicalTrials.gov