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Clinical Trials/jRCT1050230166
jRCT1050230166RecruitingNot Applicable

Building a Trauma Treatment Strategy Algorithm Using Machine Learning with CT Images. Multi-institutional, backward-looking observational study (AI Trauma)

Osaka General Medical Center0 sites10,000 target enrollmentStarted: December 28, 2021Last updated:

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
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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