References

1. 1.
   LAM W C，LYU A P，BIAN Z X.ICD-11：Impact on traditional Chinese medicine and world healthcare systems［J］.Pharm Med，2019，33（5）：373-377.
2. 2.
   REDDY B，FAN A Y.Incorporation of complementary and traditional medicine in ICD-11［J］.BMC Med Inform Decis Mak，2021，21（S6）：381.
3. 3.
   LIANG D，ZHANG H.Research on technology transfer promoting industrial upgrading and transformation［J］.Taiyuan Sci Technol，2024，45（12）：9-11.
4. 4.
   NIU P，TAN Y.Development status and practical experience of international technology transfer and cooperation：Taking Sichuan province as an example［J］.Decis Mak Consul，2024（3）：49-52.
5. 5.
   LI Y W，CHI Y H，ZHU M T，et al.Efficacy of Kegan Liyan oral liquid vs.Lianhuaqingwen capsules for patients with mild COVID-19：A double-blinded，randomized，controlled，non-inferiority trial［J］.Front Med，2025，12：1531370.
6. 6.
   WANG K，GAO Y H，WANG G，et al.Network pharmacology study on the intervention mechanism of Lianhuaqingwen capsule in COVID-19 inflammation［J］.J Yantai Univ：Nat Sci Eng Ed，2022，35（4）：413-420.
7. 7.
   WEI Z K，HAN Q，XUE Q L，et al.Analysis of quality traceability system for Chinese medicinal materials in Hebei Province［J］.Co-Oper Econom Sci，2021（2）：110-112.
8. 8.
   CHEN J F，GUO C H，WEI W."Internet plus traditional Chinese medicine"：Reconstructing the development model of the entire industrial chain of traditional Chinese medicine［J］.China Soft Sci，2016（6）：26-38.
9. 9.
   JIA C L，ZHAO K J，ZHANG F，et al.Construction and application of quality traceability system for Chinese medicine decoction pieces［J］.Mod Chin Med，2024，26（6）：1092-1098.
10. 10.
    CUI T，HE J J，HE H，et al.Research on tongue image features based on deep learning［J］.J Med Inform，2024，45（7）：81-87.
11. 11.
    LIU J Y，LAI H H，PAN B，et al.Application prospects and challenges of generative artificial intelligence in the standardization research of traditional Chinese medicine［J］.Shanghai J Tradit Chin Med，2025，59（4）：1-7，54.
12. 12.
    CHEN Z J，PENG W Q，ZHANG D Z，et al.Application，challenges and prospects of large language models in the field of traditional Chinese medicine［J］.Med J Peking Union Med Coll Hosp，2025，16（1）：83-89.
13. 13.
    BAI L L，ZHANG H X，PAN X L.Analysis of the development status and industrial trends of intelligent acupuncture devices［J］.Lishizhen Med Mater Med Res，2024，35（9）：2239-2243.
14. 14.
    ZHANG C C，YANG G.Discussion on the current situation，problems and countermeasures of endangered Chinese medicinal materials management［J］.Chin J Chin Mater Med，2025，50（14）：4081-4088.
15. 15.
    XIE Y M，WANG L X.Clinical and social value of traditional Chinese medicine research：On the transformation of scientific and technological achievements of traditional Chinese medicine［J］.J Tradit Chin Med，2015，56（24）：2079-2082.
16. 16.
    ZHAO Y H，WANG C N，LI H J.Research on countermeasures for the transformation of scientific and technological achievements related to traditional Chinese medicine［J］.Chin Med Manag Sci，2024，14（3）：107-111.
17. 17.
    CAI X J，TIAN N，YANG J L.Analysis of the dilemma and countermeasures in the internationalization process of Pien Tze Huang［J］.Chin Foreign Entrepreneurs，2018（21）：230.
18. 18.
    WANG X W，ZHAO X S，TANG S S.Inhibitory effects of EGb761 on the expression of matrix metalloproteinases （MMPs） and cartilage matrix destruction［J］.Cell Stress Chaperones，2015，20（5）：781-786.
19. 19.
    LIU W，CHENG X M，GENG D M，et al.Interpretation of SCHWABE company's Ginkgo biloba preparation patent portfolio［J］.China J Chin Mater Med，2014，39（17）：3384-3388.
20. 20.
    LI X.Influencing factors，evolution，and strategies for improving the quality of traditional Chinese medicine patents：An empirical study based on patent invalidation cases［J］.Ann Med，2024，56（1）：2422571.
21. 21.
    ZHANG Z H，LI R R，CHEN Y，et al.Integration of traditional，complementary，and alternative medicine with modern biomedicine：The scientization，evidence，and challenges for integration of traditional Chinese Medicine［J］.Acupunct Herb Med，2024，4（1）：68-78.
22. 22.
    ZHANG J，ZHANG Z M.The challenges of ethical review in clinical research of traditional Chinese medicine［J］.Evid Based Complementary Altern Med，2021，2021：6754985.
23. 23.
    RUAN J H，ZHANG W N，HU Z P.The connection between academic achievements and market demand：The role and practice of technology and innovation in knowledge transfer［J］.Edelweiss Appl Sci Technol，2024，8（6）：6165-6175.
24. 24.
    ALKHAZALEH R，MYKONIATIS K，ALAHMER A.The success of technology transfer in the industry 4.0 era：A systematic literature review［J］.J Open Innov Technol Mark Complex，2022，8（4）：202.
25. 25.
    SHEN C L.How to transform 600 traditional Chinese medicine achievements in one year［N］.China Sci Daily，2024-01-22（04）.
26. 26.
    SHI S H，CHEN L X，ZHENG Y X，et al.Research on the current situation and countermeasures of patent management in traditional Chinese medicine universities from the perspective of achievement transformation：Taking 6 universities as examples［J］.Chin Univ Sci Technol，2025（3）：65-70.
27. 27.
    ZHANG X L，CHEN Y M.WU Jiannong：Straightening the backbone of traditional Chinese medicine scientific research［J］.Chin Hosp CEO，2025，21（2）：58-59.
28. 28.
    FANG J G.Hangzhou：Leading residents from "healthier" to "happier"［J］.China Health，2025（4）：12-14.
29. 29.
    XINHUA NET."AI traditional Chinese medicine" prescribes！ Nanjing University of Chinese Medicine research team launches "Huanghuang Jingfang AI-assisted diagnosis and treatment system"［EB/OL］.（2025-03-14）.［2025-02-20］..
30. 30.
    TIAN G H，QIAN K，LI X Y，et al.Can a holistic view facilitate the development of intelligent traditional chinese medicine？A survey［J］.IEEE Trans Comput Soc Syst，2023，10（2）：700-713.
31. 31.
    LI Y L，FAN J，CHENG X L，et al.New revolution for quality control of TCM in industry 4.0：Focus on artificial intelligence and bioinformatics［J］.Trac Trends Anal Chem，2024，181（PB）：118023.
32. 32.
    GONG A J，GUO L B，YU Y，et al.Spectrum-image dual-modality fusion empowered accurate and efficient classification system for traditional Chinese medicine［J］.Inf Fusion，2024，101：101981.
33. 33.
    WU B，ZHANG L L，GUO Y A，et al.Research on the construction of TCM syndrome differentiation model for cancer pain based on artificial intelligence［J］.China Arch Tradit Chin Med，2025，43（3）：19-23，260.
34. 34.
    WANG X Y，XIE Y，YANG X J，et al.Internet-based healthcare knowledge service for improvement of Chinese medicine healthcare service quality［J］.Healthcare，2023，11（15）：2170.
35. 35.
    ZHAO W B，WANG B Y，LI S.Network pharmacology for traditional Chinese medicine in era of artificial intelligence［J］.Chin Herb Med，2024，16（4）：558-560.
36. 36.
    LI D N，HU J，ZHANG L，et al.Deep learning and machine intelligence：New computational modeling techniques for discovery of the combination rules and pharmacodynamic characteristics of traditional Chinese medicine［J］.Eur J Pharmacol，2022，933：175260.
37. 37.
    KE Z P，LIU M X，LIU J，et al.The application of artificial intelligence in the research and development of traditional Chinese medicine［J］.Int J Drug Discov Pharmacol，2024，3（1）：100001.
38. 38.
    WANG Y Q，HU K F，HU C J.Application and development of systems biology in the field of computer-aided drug design［J］.Chin J Chin Mater Med，2023，48（11）：2868-2875.
39. 39.
    FAN Z R.Exploration and thinking on the concept of ecological planting of genuine medicinal materials to promote high-quality development of rural industries［J］.Sichuan Agric Sci Technol，2024（9）：120-122.
40. 40.
    WANG Y，GUO Y，LIU H，et al.Quantitative analysis of national medicine strategic policies towards internationalization of traditional Chinese medicine［J］.Tran Soc Sci，Edu Human Res，2023，1：151-158.
41. 41.
    CHU X L，SUN B Z，HUANG Q C，et al.Quantitative knowledge presentation models of traditional Chinese medicine （TCM）：A review［J］.Artif Intell Med，2020，103：101810.