NCT05990218

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

Efficacy of Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Operators with Different Endoscopic Experience: a Randomized Control Trial

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 240 (estimated)
• Sponsor: Department of Medical Services Ministry of Public Health of Thailand · Other Government
• Sex: All
• Age: 40 Years – 80 Years
• Healthy volunteers: Accepted

Summary

Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.

Conditions

• Colon Polyp

Interventions

Type	Name	Description
DEVICE	Artificial intellegence. CADe syste,	The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.
DEVICE	control	The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.

Timeline

• Start date: 2023-02-13
• Primary completion: 2026-02-12
• Completion: 2026-02-28
• First posted: 2023-08-14
• Last updated: 2024-12-13

Locations

1 site across 1 country: Thailand