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

NCT07538492 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 297

Last updated 2026-04-20

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Capital Medical University

    collaborator OTHER

  • People's Hospital of Beijing Daxing District

    collaborator OTHER

  • Beijing Tiantan Hospital

    collaborator OTHER

  • The First Hospital of Fangshan District,Beijing

    collaborator OTHER

  • Xuanwu Hospital, Beijing

    lead OTHER

Principal Investigators

  • Qingfeng Ma, MD · Xuanwu Hospital, Beijing

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-04-10
Primary Completion
2028-12-31
Completion
2028-12-31

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Entities

Diseases

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 NCT07538492 on ClinicalTrials.gov