Development of an algorithm for trauma treatment strategy using CT images.
Not Applicable
Recruiting
- Conditions
- Trauma
- Registration Number
- JPRN-jRCT1050230166
- Lead Sponsor
- Okada Naoki
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 10000
Inclusion Criteria
Select patients who meet all of the following criteria.
The patient must be at least 7 years old.
Patients who have undergone imaging tests such as x-ray, CT, and MRI.
Exclusion Criteria
Patients who fall into any of the following categories will be excluded from the study.
Pediatric patients under 6 years of age.
Patients who are judged by the principal investigator and sub-investigators to be inappropriate as research subjects.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Fatal Trauma Detection Capability of a Machine Learning Model for Automatic Analysis of Trauma Patient Examination Images.
- Secondary Outcome Measures
Name Time Method Comparison of predictive ability by type of trauma.<br>Comparison of predictive ability by severity of injur.y