jRCT1050230166RecruitingNot Applicable
Building a Trauma Treatment Strategy Algorithm Using Machine Learning with CT Images. Multi-institutional, backward-looking observational study (AI Trauma)
Trial Snapshot
- Phase
- Not Applicable
- Status
- Recruiting
- Sponsor
- Osaka General Medical Center
- Enrollment
- 10,000
- Primary Endpoint
- Fatal Trauma Detection Capability
Study Overview
Brief Summary
No summary available.
Study Design
- Study Type
- Observational
Eligibility Criteria
- Ages
- 7age old over to No limit (—)
- Sex
- All
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.
Outcomes
Primary Outcomes
Fatal Trauma Detection Capability
Machine Learning Model for Automatic Analysis of Trauma Patient Examination Images
Secondary Outcomes
No secondary outcomes reported
Investigators
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