Comparison of the ability of artifical intelligence-based computer-aided detection (CAD) systems and endoscopists to detect colorectal neoplastic lesions.
Not Applicable
- Conditions
- colorectal polyp
- Registration Number
- JPRN-UMIN000051237
- Lead Sponsor
- Tokyo Women's Medical University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 47
Inclusion Criteria
Not provided
Exclusion Criteria
Cases with poor preparation Cases in which CAD indicated more than 5 colorectal polyps of 10 mm or less Cases in which endoscopic procedures were performed including biopsy Cases in which no neoplastic lesions were detected Inflammatory bowel disease and polyposis Cases with an examination time of 20 minutes or longer
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method