colonic polyp during routine surveillance Artificial intelligence, colon polyp, detection
Conditions
Interventions
Colonoscopy performed by trainee using white light endoscopy in the first withdrawal then AI-assisted endoscopy during second withdrawal.,Colonoscopy performed by expert using white light endoscopy in
Experimental Device,Experimental Device,Active Comparator Device,Active Comparator Device
AI-trainee,AI-expert,White light- trainee,White light-expert
Sponsors
Rajavithi hospital
Eligibility
Sex/Gender
All
Age
40 Years to 80 Years
Inclusion criteria
Inclusion criteria: 1. Patients who underwent colonoscopy for colorectal cancer screening
Exclusion criteria
Exclusion criteria: 1. prior colorectal surgery (except for appendectomy) 2. planned therapeutic procedures (e.g., polypectomy) 3. gastrointestinal bleeding 4. unstable vital signs during the procedure 5. known case colonic diseases such as inflammatory bowel disease, colorectal cancer or colorectal polyp
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| polyp detection rate at the time of intervention number of polyp detected during second withdrawal | — |
Secondary
| Measure | Time frame |
|---|---|
| adenoma detection rate at the time of intervention number of adenoma detected during second withdrawal,type of polyp at the time of intervention polyp location, size, morphology, and histology | — |
Countries
Thailand
Contacts
Public ContactTanyaporn Chantarojanasiri
Rajavithi hospital
Outcome results
None listed