Evaluation study of the usefulness of endoscopic diagnostic support software with artificial intelligence for ulcerative colitis
Not Applicable
Recruiting
- Conditions
- lcerative colitis
- Registration Number
- JPRN-UMIN000048158
- Lead Sponsor
- Digestive Disease Center, Showa University Northern Yokohama Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 100
Inclusion Criteria
Not provided
Exclusion Criteria
Image of a patient with ulcerative colitis undergoing colonoscopy at Showa University Northern Yokohama Hospital.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Differences in diagnostic accuracy of non-specialist MES diagnosis with and without the use of EB-UC2 when IBD specialist MES diagnosis is the gold standard
- Secondary Outcome Measures
Name Time Method (1) Differences in diagnostic concordance of MES diagnoses of non-specialists with and without the use of EB-UC2 when using IBD specialists' MES diagnosis as the gold standard. (2) AI's diagnostic accuracy when using IBD specialists' MES diagnosis as the gold standard (3) Differences in diagnostic accuracy of endoscopists' MES diagnosis when using IBD specialists' MES diagnosis as the gold standard. (4)Differences in diagnostic concordance of endoscopists' MES diagnosis with non-specialists' MES diagnosis when the MES diagnosis of IBD specialists is the gold standard