Impact of Artificial Intelligence on Trainee Polyp Miss Rates

Description

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)

Study Overview

Study Details

Study overview

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.

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

Impact of Artificial Intelligence on Trainee Polyp Miss Rates

Condition
Colon Polyps
Intervention / Treatment

-

Contacts and Locations

Chicago

Northwestern Memorial Hospital, Chicago, Illinois, United States, 60611

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * Adult patients referred for screening or surveillance colonoscopy
  • * 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)

Ages Eligible for Study

18 Years to

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

Northwestern University,

Rajesh Keswani, MD, PRINCIPAL_INVESTIGATOR, Northwestern Medicine

Study Record Dates

2026-09