ABSTRACT
Retrieved the literature on randomized controlled trials (RCT) of acupuncture and moxibustion from 2011 to 2020 in the Web of Science (WOS) database, and explored research hotspots and frontiers in the field of acupuncture and moxibustion by visually analyze to countries, institutions, authors, keywords, cited literature, etc. using CiteSpace V5.6.R2. A total of 1147 articles were included. China has the largest number of publications, and the top 3 publications are Beijing University of Chinese Medicine, Capital Medical University and Kyung Hee University. The hot research interventions in acupuncture and moxibustion include acupuncture, electroacupuncture, and bee acupuncture. The hot research topics include nerve regeneration, spasms, nausea, pain, obesity, cancer, etc. The research frontiers include acupuncture analgesia, diversification of acupuncture and its clinical effects, brain effects of acupuncture and acupuncture clinical mechanisms. It is believed that the cooperation between countries and institutions should be strengthened in the future, and deeper research should be carried out on the research content that is both hot spot and frontier.
Subject(s)
Animals , Acupuncture , Acupuncture Therapy , Electroacupuncture , Moxibustion , Randomized Controlled Trials as TopicABSTRACT
OBJECTIVE： To investigate the research status，hotspots and frontiers of the artificial intelligence （AI） technology applicated in pharmaceutical field， and to provide ideas for the development of related research in China. METHODS： Using bibliometric method， relevant journals and proceeding papers from 1998 to 2017 were searched from Web of Science database （“Article” and “Proceeding Paper” as retrieval words）. Using analysis and retrieval results of ISI Web of Knowledge and its function of creating citation report， CiteSpace 5.2.R1 software was employed to draw knowledge map； quantitative statistics and qualitative analysis was conducted to summarized the research volume， co-citation， main research countries/areas， main research institutions， main researchers， research hotspots and research frontiers in this field. RESULTS： A total of 3 674 related literatures were retrieved， and the number of global published literatures in this field increased rapidly from 1998 to 2017； the dominant nations included America， China， Britain and Germany because of their large number of publications，but China showd an obvious lack of international cooperation and excellent core teams. From the researcher’s point of view， the research in this field was in a state of “partially concentrated and overall dispersed” and lacked team cooperation. The research hotspots contained important core of AI technology （machine learning algorithms） and its application in pharmaceutical field （drug discovery and design）， the classification of disease or adverse drug reaction， the establishment and optimization of pharmaceutical mode， drugs screening or pharmacodynamics prediction， the estbalishment of pharmaceutical database， etc. The recent research frontiers included “molecular docking” “machine learning” “Meta analysis” “precision medicine” “targeted therapy”， etc. CONCLUSIONS： AI applicated in pharmaceutical field is a hot research field with strong timeliness， and its application in the development of pharmaceutical industry is the general trend. However， there is still a gap between the current research level in this field in China and the international frontier research. In order to adapt to the international trend of the combination of AI technology and pharmacy， pharmacists in China should strengthen their cooperation with researchers in AI fields while doing well the basic work of experimental research and clinical trials，etc.
ABSTRACT
The research frontiers in foreign medical informatics were analyzed according to the co-occurrence net-work map, hotspots density map and cluster tree map that were plotted for the PubMed-covered scientific papers on medical informatics from 2010 to 2014 , which showed that the research frontiers in foreign medical informatics were the natural language processing and data mining of electronic health records, medical decision-making assistant system, computer-aided drug therapy, clinical decision-making support, health service attitude, health service quality, health service model, medical records system and its linkage, information system and its integration.