Accuracy of diagnostic-support artificial intelligence interpretation to detect interstitial pneumonia in the medical examinatio
Not Applicable
- Conditions
- Interstitial lung disease
- Registration Number
- JPRN-UMIN000043855
- Lead Sponsor
- Sapporo Medical University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 3770
Inclusion Criteria
Not provided
Exclusion Criteria
Subjects who refuse written consent and do not undergo chest X-ray and/or blood examination. To maintain anonymization, elderly subjects aged >100 years, and those with very rares disease (i.e., <= 10 subjects in the database) will also be excluded.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method