这篇文章系统地探讨了将人工智能 (AI) 技术应用于中风的中医药 (TCM) 治疗研究。文章首先指出，尽管中医在治疗中风方面具有疗效，但其复杂的多组分、多靶点机制阻碍了其广泛应用。为克服这一挑战，该综述详细介绍了机器学习、深度学习和自然语言处理等 AI 技术如何应用于靶点预测、机制阐释和临床诊断，旨在实现中风治疗的精准化。最后，文章提出了一个前瞻性的理论框架，强调大型语言模型 (LLMs) 和 AI 集成虚拟细胞 (AIVC) 模型在未来整合多维度数据和动态模拟中医复杂药理作用中的巨大潜力。References: Meng Q, Mi Y, Wang F, et al. Intelligent technology leads the transformation of traditional Chinese medicine: Large models and virtual cells aid modern analysis of stroke treatment[J]. Pharmacological Research, 2025: 107953.
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