Status:
UNKNOWN
Automated Diagnosis of Stroke in Computed Tomography With the Use of Artificial Intelligence
Lead Sponsor:
University of Guadalajara
Conditions:
Stroke
Ischemic Stroke
Eligibility:
All Genders
18+ years
Brief Summary
The use of the systems of machine learning for the quantification, location and diagnosis of ischemic stroke in non-contrasted head computed tomography, is a method with high efficacy, accessible and ...
Detailed Description
PROBLEM STATEMENT Stroke is the fifth cause of death in the United States and the number one cause of long term disability. Annually around 800,000 persons are diagnosed with stroke in this country, c...
Eligibility Criteria
Inclusion
- Patients with ischemic stroke.
- Patients with \<4.5 hours of symptom onset.
Exclusion
- Patients with hemorrhagic stroke diagnosis.
- Patients with other cerebrovascular diseases.
Key Trial Info
Start Date :
August 15 2019
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
June 1 2025
Estimated Enrollment :
350 Patients enrolled
Trial Details
Trial ID
NCT03874702
Start Date
August 15 2019
End Date
June 1 2025
Last Update
May 18 2021
Active Locations (1)
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1
Departamento de neurociencias
Guadalajara, Jalisco, Mexico, 44340