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Impact of Artificial Intelligence on Trainee Polyp Miss Rates

NCT06676930 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 180

Last updated 2024-11-06

No results posted yet for this study

Summary

Based on prior studies, trainee and practicing gastroenterologists miss pre-cancerous polyps (adenomas and serrated polyps) during colonoscopy. The use of computer-aided detection (CADe) systems, a form of artificial intelligence (AI) has been shown to help identify colorectal lesions for practicing gastroenterologists. However, less is known how AI impacts polyp detection for trainees.

The investigators are conducting a tandem colonoscopy study wherein a portion of the colon is examined first by the trainee and then the attending physician. For each procedure, randomization will occur which will determine whether or not the trainee will utilize AI for their examination of the colon. At the end of the study, the investigators will determine whether AI helps trainees miss fewer polyps during colonoscopy. The investigators will also conduct interviews with trainees to understand how AI impacts colonoscopy training.

Conditions

  • Colon Polyps
  • Colonoscopy
  • Artificial Intelligence (AI)

Interventions

DEVICE

Colonoscopy With Computer-Aided Detection

Use of Computer-Aided Detection During Colonoscopy

PROCEDURE

Colonoscopy without Computer-Aided Detection

Colonoscopy without Computer-Aided Detection (AI)

Sponsors & Collaborators

Principal Investigators

  • Rajesh Keswani, MD · Northwestern Medicine

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-10
Primary Completion
2025-12-31
Completion
2026-09-30
FDA Device
Yes

Countries

  • United States

Study Locations

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Entities

Companies

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 NCT06676930 on ClinicalTrials.gov