Clinical Validation of an Artificial Intelligence-Based G-FAST Score in Patients With Stroke
ConditionStroke
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorXuanwu Hospital, Beijing
About this trial
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.
Eligibility criteria
Qualifiers
Aged ≥ 18 years, of either sex.
Clinically diagnosed with stroke, and confirmed by cranial CT/MRI to have ischemic or hemorrhagic stroke.
Onset within 7 days.
Alert and oriented, able to cooperate with standardized video and audio data collection.
Disqualifiers
Neurological deficits caused by non-stroke etiologies (e.g., brain tumor, traumatic brain injury, encephalitis).
Patients with impaired consciousness, severe cognitive dysfunction, or psychiatric disorders that prevent cooperation with video collection and scale assessment.
Patients with severe visual or hearing impairment, or global aphasia, who are unable to follow instructions.
Critically ill patients requiring immediate cardiopulmonary resuscitation or endotracheal intubation, making video and audio data collection impossible.
Trial design
Treatments tested in this trial
- Not listed
Trial groups
297 Participants
are grouped into 2 trial groupsLocations
Sponsors and collaborators
Xuanwu Hospital, Beijing
Lead sponsor
Capital Medical University
Collaborator
People's Hospital of Beijing Daxing District
Collaborator
Beijing Tiantan Hospital
Collaborator
The First Hospital of Fangshan District,Beijing
Collaborator
Source ClinicalTrials.gov