人工智能大语言模型在中医药领域的应用

The Application of the Artificial Intelligence Large Language Model in the Field of Traditional Chinese Medicine

[目的]探讨基于AI(人工智能)大语言模型在中医药领域的应用,以期为临床应用、中医药(TCM)的研究及TCM知识普及方面提供支持。[方法]利用深度学习技术构建的大语言模型对中医古籍、医案记录、现代研究论文等大量文本数据进行分析与学习,包括运用自然语言处理(NLP)技术提取关键信息,并通过模式识别辅助医生进行病症诊断;分析中药配方及其药效,为新药开发提供参考;简化专业术语以普及TCM知识。[结果](1)大语言模型能有效辅助中医诊断过程,减少误诊率,并提升诊断的速度;(2)在药物研发方面,模型成功揭示了多种潜在的药物组合及其作用机制;(3)通过智能系统解释中医药概念,非专业人士对TCM的理解得到显著提高。[结论]基于AI大语言模型在中医药领域的应用展现出积极的前景,它不仅有助于提高临床诊断的精度和效率,而且促进了中药新药的研发,并为公众提供了更易于理解的TCM知识;未来,随着技术的不断进步,预计该模型将在TCM领域发挥更大的作用,推动传统医学的现代化发展。

[Objective]This research endeavors to investigate the application of large-scale artificial intelligence(AI)language models within the realm of traditional Chinese medicine(TCM).The aim is to bolster clinical applications,aug-ment TCM research,and promote a widespread understanding of TCM knowledge.[Method]Utilizing deep learning tech-nology,a sophisticated language model was developed to analyze and learn from an extensive corpus of textual data,en-compassing ancient TCM manuscripts,medical case records,and contemporary research papers.Advanced natural lan-guage processing(NLP)techniques were deployed to extract critical information,and pattern recognition was used as an aid for medical professionals in disease diagnosis.In addition,the model analyzed herbal formulas and their therapeutic effects,offering insights for the development of novel medications;it also worked towards simplifying complex jargon to promote TCM knowledge among the general public.[Result](1)The AI-driven language model has effectively supported the TCM diagnostic process,reducing the rate of misdiagnosis and enhancing the speed of accurate diagnoses;(2)In pharmaceutical research,the model has uncovered various potential drug combinations along with their mechanisms of ef-ficacy;(3)Furthermore,by elucidating TCM concepts through the intelligent system,laypersons'comprehension of TCM has significantly improved.[Conclusion]The integration of large-scale AI language models within TCM holds a promis-ing future.It not only contributes to the enhancement of clinical diagnostic precision and efficiency but also catalyzes the innovation of new TCM-based remedies.Additionally,it provides the populace with more accessible interpretations of TCM.As technology continues to advance,it is anticipated that such models will play an increasingly pivotal role in the TCM sector,propelling the modernization of traditional medicine practices.