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Impact of Artificial Intelligence on Trainee Polyp Miss Rates

StatusCompleted
PhaseNot applicable
Started
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Record History

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  1. Primary completion date changed from estimate of Dec 2025 to Aug 25, 2026 Show 4 more changesShow less
    • Trial completed
    • Study completion date changed from estimate of Sep 2026 to Sep 1, 2026
    • Site details revised
    • Eligibility criteria expanded, about 5 words
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT06676930
Lead Sponsor Northwestern University
Conditions
(from sponsor)		 Colon Polyps, Colonoscopy, Artificial Intelligence (AI)
Related terms Colonic Polyps
Enrollment 180 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov