Related Experiment Video For Artificial intelligence
Updated: Oct 22, 2025

Structured Approach to Colonoscopy Technique Optimization: A Single-Center Experience with Novice Endoscopists
Published on: July 11, 2025
Artificial intelligence in colonoscopy
Joel Joseph1, Ella Marie LePage1, Catherine Phillips Cheney2
1Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston Salem, NC 27157, United States.
Abstract:
Colorectal cancer remains a leading cause of morbidity and mortality in the United States. Advances in artificial intelligence (AI), specifically computer aided detection and computer-aided diagnosis offer promising methods of increasing adenoma detection rates with the goal of removing more pre-cancerous polyps. Conversely, these methods also may allow for smaller non-cancerous lesions to be diagnosed in vivo and left in place, decreasing the risks that come with unnecessary polypectomies. This review will provide an overview of current advances in the use of AI in colonoscopy to aid in polyp detection and characterization as well as areas of developing research.
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