Verification of the performance of lesion detection assistance in computer aided diagnosis endoscopy
Not Applicable
- Conditions
- Patients who underwent computer aided diagnosis endoscopy at our facility and polyps were detected
- Registration Number
- JPRN-UMIN000053310
- Lead Sponsor
- Oita University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 50
Inclusion Criteria
Not provided
Exclusion Criteria
1. Patients undergoing emergency endoscopy 2. Patients with a history of colon resection or severe adhesion of the intestinal tract known in advance 3. Patients with chronic intestinal diseases such as inflammatory bowel disease 4. Patients with poor preparation
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Time from lesion appearance on endoscopic image to AI detection of lesion
- Secondary Outcome Measures
Name Time Method Comparison of lesion detection time by lesion shape and color tone Comparison of lesion detection time in case of AI endoscopy with LCI