Development of an algorithm for trauma treatment strategy using CT images.

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

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1050230166

Enrollment

10000

Registered

2024-01-19

Start date

2021-12-28

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Trauma Trauma

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

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

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.

Design outcomes

Primary

Measure	Time frame
Fatal Trauma Detection Capability of a Machine Learning Model for Automatic Analysis of Trauma Patient Examination Images.	—

Secondary

Measure	Time frame
Comparison of predictive ability by type of trauma. Comparison of predictive ability by severity of injur.y	—

Countries

America, Japan

Contacts

Public ContactNaoki Okada

Osaka General Medical Center

wggdilp@gmail.com+81-666921201

Outcome results