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Clinical Validation of an Artificial Intelligence-Based G-FAST Score in Patients With Stroke
Sponsor: Xuanwu Hospital, Beijing
Summary
This study aims to validate the clinical performance of an artificial intelligence (AI)-based automatic assessment system for the G-FAST score. The core comparison is the consistency and accuracy between AI-generated G-FAST results and standardized manual G-FAST assessments performed by trained professionals. The goal is to provide a convenient, efficient, and objective tool for acute stroke screening and early identification, reduce the subjective variability of manual scoring, and optimize the pre-hospital and in-hospital stroke assessment workflow.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
297
Start Date
2026-04-10
Completion Date
2028-12-31
Last Updated
2026-04-20
Healthy Volunteers
No