Clinical Validation of an Artificial Intelligence-Based G-FAST Score in Patients With Stroke

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.

NCT Number	NCT07538492
Lead Sponsor	Xuanwu Hospital, Beijing Collaborators: Capital Medical University, People's Hospital of Beijing Daxing District, Beijing Tiantan Hospital, The First Hospital of Fangshan District,Beijing
Conditions	Stroke
Enrollment	297 participants
Start Date	2026-04-10
Primary Completion	2028-12-31 (estimated)
Study Completion	2028-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-04-20