NCT07538492Not yet recruiting
Clinical Validation of an Artificial Intelligence-Based G-FAST Score in Patients With Stroke
Source: ClinicalTrials.gov · Last updated 20 Apr 2026
Brief summary (registry, in English)
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.
- Status (registry)
- Not yet recruiting
- Study type
- Observational
- Enrollment
- 297 (estimated)
- First submitted
- 7 Apr 2026
- Start date
- 10 Apr 2026
- Primary completion date
- 31 Dec 2028
- Lead sponsor
- Xuanwu Hospital, Beijing
- Diseases
- Stroke
- NCT number
- NCT07538492
What you commit to
- Study type: Observational
- Planned participants: 297
- From 10 Apr 2026 to the primary completion date, 31 Dec 2028
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- 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.
Other
- Critically ill patients requiring immediate cardiopulmonary resuscitation or endotracheal intubation, making video and audio data collection impossible.
- Patients with severe facial or limb deformities, or large-area dressings that severely interfere with camera data collection.
- Patients with unilateral or bilateral upper limb amputation, severe deformity, unhealed fracture, joint fixation, or severe contracture.
Who the study is looking for
- 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.
- The patient or their legally authorized representative understands the study and voluntarily provides written informed consent (including consent for audio-visual data collection).
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.