REN Haiyan, WANG Weiguang, XU Lin, LI Hui, JIANG Tao, YANG Tao, LUO Jingjing, LI Tao, ZHAGN Lei, LIU Qingjun, TAN Wenjun, Meng Xiangfei, LI Fangjie, WANG Xin, LIN Jingyi, ZHOU Peng, GUO Yi, MENG Zhaopeng. Thinking on the Research of Smart Traditional Chinese Medicine under the Background of Intelligent Era[J]. Journal of Nanjing University of traditional Chinese Medicine, 2024, 40(12): 1291-1302. DOI: 10.14148/j.issn.1672-0482.2024.1291
Citation: REN Haiyan, WANG Weiguang, XU Lin, LI Hui, JIANG Tao, YANG Tao, LUO Jingjing, LI Tao, ZHAGN Lei, LIU Qingjun, TAN Wenjun, Meng Xiangfei, LI Fangjie, WANG Xin, LIN Jingyi, ZHOU Peng, GUO Yi, MENG Zhaopeng. Thinking on the Research of Smart Traditional Chinese Medicine under the Background of Intelligent Era[J]. Journal of Nanjing University of traditional Chinese Medicine, 2024, 40(12): 1291-1302. DOI: 10.14148/j.issn.1672-0482.2024.1291

Thinking on the Research of Smart Traditional Chinese Medicine under the Background of Intelligent Era

  • This paper discusses the necessity of artificial intelligence (AI) technology empowering the field of traditional Chinese medicine (TCM) in the context of the intelligent era, the connotation and tasks of smart TCM, and the progress of related research and transformation. It closely follows the national orientation, rigid needs and problems, conducts top-level design, and proposes popular AI technologies that can be used in the field of TCM in the future and the research directions that smart TCM will focus on in the future, in order to further promote the integration of multidisciplinary cross-innovation and help realize the modernization, inheritance and innovation of TCM and lay the foundation.
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