RecruitingNot ApplicableNCT06676930

Impact of Artificial Intelligence on Trainee Polyp Miss Rates

Impact of Computer Aided Detection on Trainee Polyp Miss Rates Using a Tandem Colonoscopy Design


Sponsor

Northwestern University

Enrollment

180 participants

Start Date

Sep 10, 2024

Study Type

INTERVENTIONAL

Conditions

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.


Eligibility

Min Age: 18 Years

Inclusion Criteria1

  • Adult patients referred for screening or surveillance colonoscopy

Exclusion Criteria4

  • Patients referred for polypectomy or diagnostic colonoscopy
  • Patients with prior right colon surgery
  • Prolonged insertion time (>20 minutes)
  • Poor bowel preparation (Boston Bowel Preparation Score less than or equal to 6)

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Interventions

DEVICEColonoscopy With Computer-Aided Detection

Use of Computer-Aided Detection During Colonoscopy

PROCEDUREColonoscopy without Computer-Aided Detection

Colonoscopy without Computer-Aided Detection (AI)


Locations(1)

Northwestern Memorial Hospital

Chicago, Illinois, United States

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NCT06676930


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