通讯作者: 肖勇, xy_1015@126.com

DOI：10.12201/bmr.202608.00012

Reflections on the Application of Large Models Empowering the Inheritance and Innovative Development of Traditional Chinese Medicine

• 摘要：目的意义 以大模型为代表的人工智能已成为推动中医药数智化转型的核心支撑,探讨中医药大模型发展应用现状,为规范中医药大模型研发、规模化落地应用提供参考,助力中医药数智化高质量发展。方法过程:检索到53个中医药人工智能大模型作为研究样本,从研发主体、技术架构、数据集建设、应用场景、实施成效多维度,系统梳理剖析中医药大模型行业发展态势。结果结论 中医药大模型发展存在标准规范与评测体系不健全、高质量专业数据供给短缺、未形成商业闭环机制、技术场景适配性不足、复合型专业人才匮乏等堵点难点,结合中医药事业高质量发展需求,从顶层设计、行业标准与专业评测体系建设、高质量的中医药数据要素供给、多模态技术融合与场景适配、中医药人工智能复合型人才等提出针对性发展对策建议,为中医药大模型健康可持续发展提供借鉴。

  关键词： 中医药; 大模型; 人工智能; 传承创新

   

  Abstract: Purpose and Significance? Artificial intelligence represented by large models has become a core pillar for advancing the digital and intelligent transformation of traditional Chinese medicine (TCM). This paper explores the current development and application status of TCM large models, provides references for standardizing their research and development as well as large-scale implementation, and facilitates the high-quality digital and intelligent development of TCM.Methods and Procedures? A total of 53 artificial intelligence large models in the TCM field were selected as research samples. The development trend of the TCM large model industry was systematically sorted out and analyzed from multiple dimensions including R D entities, technical architecture, dataset construction, application scenarios and application effects. Results and Conclusion? The development of TCM large models is faced with bottlenecks such as imperfect standards, specifications and evaluation systems, insufficient supply of high-quality professional data, lack of a commercial closed-loop mechanism, inadequate adaptability between technology and scenarios, and shortage of interdisciplinary professionals. Combined with the high-quality development demands of the TCM industry, targeted countermeasures and suggestions are proposed from the aspects of top-level design, construction of industrial standards and professional evaluation systems, supply of high-quality TCM data elements, multimodal technology integration and scenario adaptation, and cultivation of interdisciplinary talents integrating TCM and artificial intelligence, so as to provide a reference for the healthy and sustainable development of TCM large models.

  Key words: TCM; Large Model; Artificial Intelligence; Inheritance and Innovation

  提交时间：2026-08-05

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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• 序号	提交日期	编号	操作
  1	2026-05-21	10.12201/bmr.202608.00012V1	下载

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