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临床试验/NCT07538492
NCT07538492尚未招募不适用

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

Xuanwu Hospital, Beijing0 个研究点目标入组 297 人开始时间: 2026年4月10日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
297
主要终点
Agreement between AI-generated and physician-scored G-FAST scale assessments

研究概览

简要总结

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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).

排除标准

  • 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.
  • 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.

研究组 & 干预措施

AI-first interview group

Participants first undergo G-FAST assessment by AI, followed by G-FAST assessment by human assessors.

Human-first group

Participants first undergo G-FAST assessment by human assessors, followed by G-FAST assessment by AI.

结局指标

主要结局

Agreement between AI-generated and physician-scored G-FAST scale assessments

时间窗: within 7 days of acute stroke onset

The agreement between the scores generated by the artificial intelligence (AI) system and the scores assigned by neurologists on G-FAST scale will be evaluated using weighted Kappa coefficients.

次要结局

  • Agreement of AI System vs. Neurologists in Binary G-FAST Classification (Score ≥3 vs. <3)(within 7 days of acute stroke onset)
  • Bland-Altman Agreement Limit Analysis(within 7 days of acute stroke onset)
  • Diagnostic performance analysis(within 7 days of acute stroke onset)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

qingfeng ma

MD

Xuanwu Hospital, Beijing

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