数字中医药（英文）2025，Vol.8Issue(3)：300-312,13.DOI:10.1016/j.dcmed.2025.09.003
中医药研究中多组学与人工智能结合应用的进展与前景分析
Advances and prospects of the integration of multi-omics and artificial intelligence in traditional Chinese medicine research
摘要
Abstract
Objective To map the research hotspots,developmental trends,and existing challenges in the integration of artificial intelligence(AI)with multi-omics in traditional Chinese medicine(TCM)through comprehensive bibliometric analysis. Methods China National Knowledge Infrastructure(CNKI),Wanfang Data,China Science and Technology Journal Database(VIP),Chaoxing Journal Database,PubMed,and Web of Science were searched to collect literature on the theme of AI in TCM multi-omics research from the inception of each database to December 31,2024.Eligible records were required to simultaneously address AI,TCM,and multi-omics.Quantitative and visual analyses of publi-cation growth,core authorship networks,institutional collaboration patterns,and keyword co-occurrence were performed using Microsoft Excel 2021,NoteExpress v4.0.0,and Cite-Space 6.3.R1.AI application modes in TCM multi-omics research were also categorized and summarized. Results A total of 1 106 articles were enrolled(932 Chinese and 174 English).Publication out-put has increased continuously since 2010 and accelerated after 2016.Region-specific collab-oration clusters were identified,dominated by Beijing University of Chinese Medicine,China Academy of Chinese Medical Sciences,Shanghai University of Traditional Chinese Medicine,and Nanjing University of Chinese Medicine.Keyword co-occurrence analysis revealed that current AI applications predominantly centered on metabolomics and algorithms such as cluster analysis and data mining.Research foci mainly ranked as follows:single herbs,herbal formulae,and disease-syndrome differentiation. Conclusion Machine learning methods are the predominant integrative modality of AI in the realm of TCM multi-omics research at present,utilized for processing omics data and uncov-ering latent patterns therein.The domain of TCM,in addition to investigating omics informa-tion procured through high-throughput technologies,also integrates data on traditional Chi-nese medicinal substances and clinical phenotypes,progressing towards joint analysis of multi-omics,high-dimensionality of data,and multi-modality of information.Deep learning approaches represent an emerging trend in the field.关键词
中医药/多组学/人工智能/文献计量学/CiteSpaceKey words
Traditional Chinese medicine/Multi-omics/Artificial intelligence/Bibliometrics/CiteSpace引用本文复制引用
刘桂成,龙茜,彭清华,田赛男,胡淑娟..中医药研究中多组学与人工智能结合应用的进展与前景分析[J].数字中医药（英文）,2025,8(3):300-312,13.基金项目
General Project of Scientific Research of Hunan Provincial Education Department(22C0191),General Project of Uni-versity-level Scientific Research of Hunan University of Chinese Medicine(Z2023XJYB21),and Hunan Provincial Degree and Graduate Education Reform Research Project(2024JGYB157). （22C0191）
