Evaluating Artificial Intelligence to Detect Right-Sided Colon Polyps Compared to Standard Colonoscopy by Endoscopists with Different Experience Levels

What this Trial Is About

Researchers are assessing how well artificial intelligence AI can help detect polyps on the right side of the colon during colonoscopy. The study focuses on comparing the effectiveness of AI-assisted detection with traditional methods when performed by endoscopists with different levels of experience. This trial aims to improve polyp detection rates, especially since polyps can be missed on the right side of the colon. Participants undergo colonoscopy with double insertion of the right-sided colon under white light. Four groups are compared experienced endoscopists using AI, beginner endoscopists using AI, experienced endoscopists without AI control, and beginner endoscopists without AI control. The AI system, called CADe, assists in polyp detection during the second endoscopic withdrawal. During the study, researchers measure how often polyps are detected during the procedure and identify the types of polyps found. Participants will be monitored throughout the procedure to assess outcomes. The study includes adults aged 40 to 80 years and involves random assignment to one of the four groups to compare the role of AI and experience in detecting right-sided colonic polyps.

Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience