Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

被引:17
作者
Zhou, E. [1 ]
Shen, Qin [2 ]
Hou, Yang [3 ]
机构
[1] Yuhu Dist Healthcare Secur Adm, Xiangtan, Peoples R China
[2] Hunan Normal Univ, Hunan Prov Peoples Hosp, Affiliated Hosp 1, Dept Resp Med, Changsha, Peoples R China
[3] Cent South Univ, Xiangya Sch Pharmaceut Sci, Changsha, Peoples R China
关键词
traditional Chinese medicine; artificial intelligence; drug discovery; data mining; quality standardization; industry technology; NETWORK PHARMACOLOGY; DIAGNOSIS;
D O I
10.3389/fphar.2024.1181183
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.
引用
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页数:14
相关论文
共 148 条
[101]   Exploring the potential therapeutic effect of traditional Chinese medicine on coronavirus disease 2019 (COVID-19) through a combination of data mining and network pharmacology analysis [J].
Sun, Xiuli ;
Jiang, Jinhe ;
Wang, Yang ;
Liu, Shuying .
EUROPEAN JOURNAL OF INTEGRATIVE MEDICINE, 2020, 40
[102]   Identification of different species of Zanthoxyli Pericarpium based on convolution neural network [J].
Tan, Chaoqun ;
Wu, Chong ;
Huang, Yongliang ;
Wu, Chunjie ;
Chen, Hu .
PLOS ONE, 2020, 15 (04)
[103]   Discovery of novel A2AR antagonists through deep learning-based virtual screening [J].
Tang, Miru ;
Wen, Chang ;
Lin, Jie ;
Chen, Hongming ;
Ran, Ting .
ARTIFICIAL INTELLIGENCE IN THE LIFE SCIENCES, 2023, 3
[104]   Optimal stimulation of Citrus reticulate for bioenergy extraction in MFCs and antioxidant activity via traditional Chinese medicine processing methods [J].
Tsai, Po-Wei ;
Rogio, Kristian Gil G. ;
Hsieh, Cheng-Yang ;
Cruz, Kathlia A. De Castro ;
Lee, Chia-Jung ;
Hsueh, Chung-Chuan ;
Huang, Ting-Ning ;
Lu, Wei-Zhun ;
Xie, Zong-Lin ;
Jheng, Yong-Ni ;
Chen, Bor-Yann .
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, 2023, 143
[105]   Advances in analytical techniques and quality control of traditional Chinese medicine injections [J].
Tu, Yujia ;
Li, Linnan ;
Wang, Zhengtao ;
Yang, Li .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2021, 206
[106]   Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence [J].
von Gerich, Hanna ;
Moen, Hans ;
Block, Lorraine J. ;
Chu, Charlene H. ;
DeForest, Haley ;
Hobensack, Mollie ;
Michalowski, Martin ;
Mitchell, James ;
Nibber, Raji ;
Olalia, Mary Anne ;
Pruinelli, Lisiane ;
Ronquillo, Charlene E. ;
Topaz, Maxim ;
Peltonen, Laura-Maria .
INTERNATIONAL JOURNAL OF NURSING STUDIES, 2022, 127
[107]   Application of AI techniques and robotics in agriculture: A review [J].
Wakchaure, Manas ;
Patle, B. K. ;
Mahindrakar, A. K. .
ARTIFICIAL INTELLIGENCE IN THE LIFE SCIENCES, 2023, 3
[108]   Identification of Q-Markers from Hedan Tablet by employing ?spider-web? mode and taking compounds? hepatotoxicity into account [J].
Wang, Danni ;
Ding, Jiamin ;
Feng, Xiafei ;
Chai, Xin ;
Yang, Jing ;
Liu, Chunlei ;
Zeng, Yingzi ;
Zhou, Wanhui ;
Wang, Yuefei .
CHINESE HERBAL MEDICINES, 2022, 14 (04) :612-621
[109]   A study on the molecular mechanisms underlying the compatibility of traditional Chinese medicines: Development of ferulic acid-tetramethylpyrazine compound patch [J].
Wang, Jiaqi ;
Liu, Chao ;
Wang, Xiaoxu ;
Piao, Huiqing ;
Quan, Peng ;
Fang, Liang .
JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY, 2022, 76
[110]   Construction of an Artificial Intelligence Traditional Chinese Medicine Diagnosis and Treatment Model Based on Syndrome Elements and Small-Sample Data Comment [J].
Wang, Jie ;
Duan, Lian ;
Li, Hongzheng ;
Liu, Jinlei ;
Chen, Hengwen .
ENGINEERING, 2022, 8 :29-32