Efficacy of Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Operators with Different Endoscopic Experience: a Randomized Control Trial
Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Not Applicable
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.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 40
Maximum Age: 80
Healthy Volunteers: t
View:
• participants age 40-80 years
Locations
Other Locations
Thailand
Rajavithi Hospital
RECRUITING
Bangkok
Time Frame
Start Date: 2023-02-13
Estimated Completion Date: 2026-02-28
Participants
Target number of participants: 240
Treatments
Active_comparator: control, experienced
Patients received colonoscopy with double insertion of right sided colon under white light by experienced endoscopist
Active_comparator: control, beginner
Patients received colonoscopy with double insertion of right sided colon under white light by beginner endoscopist
Experimental: AI, experience
Patients received colonoscopy with double insertion of right sided colon under AI by experienced endoscopist
Experimental: AI, beginner
Patients received colonoscopy with double insertion of right sided colon under AI by beginner endoscopist
Related Therapeutic Areas
Sponsors
Leads: Department of Medical Services Ministry of Public Health of Thailand