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Artificial Intelligence Analysis of Initial Scan Evolution of Traumatic Brain Injured Patient to Predict Neurological Outcome

NCT04058379 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30

Last updated 2021-04-28

No results posted yet for this study

Summary

We assume that an early iterative automatic CT scan analysis (D0, D1 and D3) by different AI approaches will allow an early differentiation of the tissues evolution after TBI. Our objective is to couple theses scan profiles to a neurological evolution, measured by therapeutic intensity.

Conditions

  • Trauma, Brain

Interventions

RADIATION

CT scan

3 ct scans : D0, D1 and D3

Sponsors & Collaborators

  • University Hospital, Grenoble

    lead OTHER

Principal Investigators

  • Pierre BOUZAT · University Hospital, Grenoble

Study Design

Allocation
NA
Purpose
PREVENTION
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-01
Primary Completion
2021-04-12
Completion
2021-10-12

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04058379 on ClinicalTrials.gov