Large language models (LLMs), a key component of artificial intelligence (AI), represent a significant breakthrough in natural language processing. As the capabilities of LLMs continue to evolve, their potential applications and future implications in clinical medical education warrant considerable attention. This study systematically reviews the development of LLMs, explores their innovative applications within the context of current challenges in clinical medical education, and critically assesses both the advantages and limitations of their implementation. The objective is to provide a comprehensive reference for the continued integration of AI-driven LLMs into clinical medical education.
Ischemic stroke is a major cause of death and disability in adult Chinese people. Proinflammatory cytokines may exacerbate ischemic brain injury after stroke. However, preclinical studies have shown that targeted inhibition of interleukin (IL)-1β, IL-6, and/or tumor necrosis factor-α (TNF-α) alleviated ischemic brain injury. But the efficacy of these strategies has not yet been confirmed in clinical trials. Further studies are needed to investigate the effect of anti-inflammatory therapy for stroke in clinical settings. Therefore, this article focuses on classical proinflammatory cytokines including IL-1β, IL-6, and TNF-α, and summarizes their roles and mechanisms in ischemic brain injury and progress in clinical translational research.
