【摘要】 中医药治疗慢性阻塞性肺疾病(COPD)具有独特的临床优势，是中医药领域公认的研究热点，具有重要科学价值。考虑到中医用药和临床结局在时间、空间、个体等维度信息的复杂性，近年来研究者探索利用人工智能因果推断技术建立临床疗效评价模型。本研究主要围绕两方面展开介绍，即中药治疗COPD的用药与临床疗效相关性研究进展，以及因果学习模型框架在医学领域的研究进展，为准确评估中药与临床疗效因果关系，推动中医药传承创新提供思路。更多还原

【Abstract】 Traditional Chinese medicine( TCM) offers unique clinical advantages in the treatment of chronic obstructive pulmonary disease( COPD) and is recognized as a research hotspot in the field of TCM,holding important scientific value. Considering the complexity of TCM medication and clinical outcomes in terms of temporal,spatial,and individual dimensions,researchers have explored the application of artificial intelligence causal inference technology to establish clinical efficacy evaluation models in recent years. This study mainly introduces two aspects:the research progress on the correlation between the regularity and clinical efficacy of TCM in treating COPD,and the research progress of causal learning model framework in the medical field. It provides ideas for accurately evaluating the causal relationship between TCM and clinical efficacy,promoting the inheritance and innovation of TCM.更多还原