Artificial intelligence empowering traditional Chinese medicine:balancing modernization and traditional inheritance
ZHANG Tianyou
ZHANG Wenbin
CHEN Kun
YANG Qian
Abstract：The standardization and large-scale application of traditional Chinese medicine(TCM)are key to its integration into the modern medical system and the realization of high-quality development.The powerful capabilities of artificial intelligence(AI)technology in data processing and analysis offer new possibilities for accelerating the modernization of TCM.However,the holistic and syndrome-based characteristics of TCM diagnosis and treatment create an inherent tension with AI technology,which relies on data analysis.How to effectively preserve the traditional characteristics of TCM while advancing its modernization has become a core issue that urgently needs to be addressed.Focusing on this core contradiction,this paper summarizes the current application status and advantages of AI in the field of TCM from three aspects:clinical application,formula compatibility,and learning and inheritance.Meanwhile,it points out the practical problems of current AI technology in the aforementioned aspects.Finally,it explores the role of AI in the tradition and development of TCM and attempts to propose future development strategies,aiming to contribute to the organic unity of inheritance and development of TCM in the new era.
Keywords：traditional Chinese medicineartificial intelligencemedical modernizationacademic inheritanceinnovation researchintelligent diagnosismodernization of Chinese materia medicainheritance modelbalanced development
Publication Date：2026-07-31
Online Publishing Date：2026-08-26(First online date of this platform, not the publication date of the document)
Pages：6( 1074-1079 )