Clinical usefulness of artificial intelligence for the diagnosis using magnifying endoscopy with narrow-band imaging
Not Applicable
- Conditions
- Early gastric cancer
- Registration Number
- JPRN-UMIN000050543
- Lead Sponsor
- Fukuoka University Chikushi Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 100
Inclusion Criteria
Not provided
Exclusion Criteria
Endoscopic images whose quality is not enough for the analysis
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Specificity for the diagnosis of early gastric cancer by artificial intelligence
- Secondary Outcome Measures
Name Time Method Sensitivity, accuracy, positive predictive value, negative predictive value and AUC for the diagnosis of early gastric cancer by artificial intelligence