ObjectiveTo analyze the research status and summarize research hotspots and development trends of research on artificial intelligence in stomatology. MethodsData retrieved from the Web of Science Core Collection database from inception to 2021 were analyzed by CiteSpace software. ResultsThe number of publications about artificial intelligence in stomatology was rising. The United States ranked first in terms of publications and cooperation capabilities. Apart from comprehensive stomatology journals, the literature was mainly published by specialist journals of oral and maxillofacial surgery, orthodontic and dental radiology. Oral head and neck tumors were the frontier field of artificial intelligence research in stomatology. Artificial intelligence, including deep learning and neural networks, showed the tremendous potential medical value and economic value in assisting in the diagnosis and treatment decisions of oral diseases. ConclusionThe research of artificial intelligence in stomatology has rapidly increased, which is conducive to the development of stomatology in the direction of digitalization, intelligence, and individuation.
ObjectivesTo investigate and analyze the status of pediatric internal medicine clinical practice guidelines published in journals of mainland China from 2010 to 2017.MethodsCBM, CNKI, VIP and WanFang Data databases were electronically searched to collect pediatric internal medicine clinical practice guidelines published in Chinese journals of mainland China from January 2010 to December 2017. Two reviewers independently screened literature, extracted data. The author's information was organized and co-word matrixes were produced using BICOMS 2 software. The visualization diagram was plotted using Ucinet 6.0 software to analysze the societal relationship of authors.ResultsA total of 135 pediatric clinical guidelines were included, involving 109 western medical guidelines, 24 Chinese traditional medicine guidelines and 2 guidelines on integrated traditional Chinese and western medicine. The main types of clinical practice guidelines for children were diagnosis and treatment (45.19%), followed by technical guidelines (15.56%). Most of the guidelines were on respiratory diseases (23.70%). 54.81% of the guidelines for children were formulated by seminars and consensus, and 28.89% of the guidelines mentioned the application of evidence-based methods to develop guidelines. The institutes (40.00%) were participated in the development of the guidelines, in which 11 research groups were participated in the development of the guidelines.ConclusionsThe quantity of pediatric internal medicine clinical practice guidelines in mainland China has increased from 2010 to 2017. The scope of the guidelines is limited, and cooperation is required to further improve the quality of children’s guidelines.
Since the concept of digital twin technology has been put forward, after decades of rapid development and wide application, it has not only made great achievements in many fields, but also brought broader prospects for the development of the medical field. As an important trend in the medical industry, digital twin hospitals play multiple roles by connecting physical hospitals and virtual hospitals and benefit the “patient-medical staff-hospital administrators”, highlighting the immeasurable promising application of digital twin technology in smart hospitals. This review takes digital twin technology as an entry point, briefly introduces the progress of its application in various fields, focuses on the characteristics of digital twin technology, practical application cases in hospitals and their limitations, and also looks forward to its future development prospects, aiming to provide certain useful insights and guidance for the future of digital twin hospitals, and also expecting it to play an important role in changing the future of healthcare to a certain extent.
ObjectiveTo analyze the trend, hotspots and frontiers of diabetic retinopathy (DR) therapy by bibliometric method. MethodsData were taken from the Web of Science website of Science Citation Index. Articles from 2017 to 2021, which were related to the therapy of diabetic retinopathy (DR), were included. The bibliometric analysis softwares, VOSviewer and CiteSpace were used to generate and analyze visual representations of the complex data input, including high-frequency keywords, keywords with the strongest citation bursts and co-occurrence networks of keywords. ResultsA total of 3,845 articles were included. The amounts of papers published from 2017 to 2021 is 633, 651, 708, 893, and 960 respectively, increasing over years. Chinese scholars published the most articles, followed by the United States. The number of articles funded by the National Natural Science Foundation of China ranks third. There were 47 high-frequency keywords clustered into DR treatment, pathogenesis of DR, diagnosis of DR, Oxidative stress, diabetic macular edema (DME), type 2 diabetes, optical coherence tomography and deep learning. Those keywords were research hotspots and new keywords were constantly emerging. Among the top 11 burst words, the burst values of “intravitreal bevacizumab”, “vascular endothelial growth factor (VEGF)”, “choroidal neovascularization”, “inhibition”, and “receptors” were all over 10. Highly cited references showed a significant clustering tendency, which were treatment of DME, review of DR, clinical research of anti-VEGF drug therapy. ConclusionsThe amount of paper related to DR therapy is on the rise; the specific treatment methods for the pathogenesis of DR are constantly research hotspots. In addition, formulating treatment strategies to reduce macular edema and other complications of diabetes, applying optical coherence tomography, deep learning and other technologies to improve the efficiency of DR diagnosis and treatment, improve targeted drug delivery systems, and finding new target points were research frontiers.
Objective To analyze the research hotspots and development trends of hospital scientific research management in China, and to provide references for the innovation and development of hospital scientific research management in China. Methods The CNKI database was electronically searched to collect relevant research on scientific research management of domestic hospitals from January 1981 to September 2022. Bibliometrics and CiteSpace software were used for analyze. Results A total of 2 688 articles were included. The trend of publishing hospital scientific research management literature showed four peaks. The institution with the most publications was Peking University People's Hospital. Six authors published more than 15 articles. The most concerned was clinical research. Public hospitals, scientific research projects, and refined management were the latest emerging words. Conclusion The scientific research management of hospitals in China has formed an academic exchange group, but the core author group is small, and there is a lack of cross-institutional cooperation. The innovation mode of scientific research management shows a good development trend, the quantitative index system of scientific research evaluation at all levels is gradually improved, the ability to identify the potential of scientific research talent has been improved, and the cultivation of scientific research management teams needs to be strengthened.
Objective To analyze the hot spot and future application trend of artificial intelligence technology in the field of intensive care medicine. Methods The CNKI, WanFang Data, VIP and Web of Science core collection databases were electronically searched to collect the related literature about the application of artificial intelligence in the field of critical medicine from January 1, 2013 to December 31, 2022. Bibliometrics was used to visually analyze the author, country, research institution, co-cited literature and key words. Results A total of 986 Chinese articles and 4 016 English articles were included. The number of articles published had increased year by year in the past decade, and the top three countries in English literature were China, the United States and Germany. The predictive model and machine learning were the most frequent key words in Chinese and English literature, respectively. Predicting disease progression, mortality and prognosis were the research focus of artificial intelligence in the field of critical medicine. ConclusionThe application of artificial intelligence in the field of critical medicine is on the rise, and the research hotspots are mainly related to monitoring, predicting disease progression, mortality, disease prognosis and the classification of disease phenotypes or subtypes.
Systematic review (SR) and meta-analysis, as the highest level of evidence-based medicine, are an indispensable part of guiding medical staff to make medical decisions. At the same time, the status of patients as shared decision-making is rising. At present, the results of SR and meta-analysis are mainly presented in the form of effect (relative risk or mean difference) and forest plot. The expression is not intuitive or professional. The process of evidence-based evidence guiding clinical decision-making lags behind, which cannot meet the needs of rapid decision-making. With the continuous progress in artificial intelligence and big data analysis tools, researchers have attempted to introduce visual presentations to improve the timeliness of clinical decision-making. Through the interpretation of the outcomes of SR and meta-analysis, this paper presents different visualization results from the perspective of patients and clinical decision-makers, which not only helps the majority of people without medical background understand clinical evidence more intuitively and participate in the process of clinical decision-making, but also helps improve residents' health literacy, promotes the dissemination and sharing of knowledge, and provides references for further promoting the technology of automatic decision-making system.
Epigenetics refers to the modification effect of external and internal environmental factors on genes under the premise of the unaltered genetic sequence, leading to changes in gene expression level or function, and thereby affecting various phenotypes or disease outcomes. In recent years, epigenetics has attracted increasing attention. Among them, DNA methylation has been shown to be closely related to human development and the development of disease. However, the high-dimensional omics data generated by genome-wide methylation detection can comprehensively reflect the overall and local epigenetic modifications at the genome level, which has become one of the main research contents in this field. Based on genome-wide methylation chip data, this paper summarized the quality control process of this omics data, common epigenetic omics correlation statistical analysis methods and ideas, and visualization realization of main results based on SAS JMP Genomics 10 software, so as to provide reference for similar studies.
Objective To analyze the advancement and trends of English literature on elderly integrated care, and provide a reference for related research and practice in China. Methods Web of Science database was searched for English literature on elderly integrated care published between 1977 and 2000, and then CiteSpace software was applied to analyze and graphically present the articles to understand the chronological development, publishing institutions, research hotspots, key articles and so on. Results A total of 1177 English research papers on elderly integrated care were included. The yearly quantity of articles increased significantly since 2016. More than 100 articles had origin in the Unite State of America, the Netherland, the United Kingdom, and Canada, respectively; the organizations of those researches were mainly single programs, and the research fields were relatively scattered. The high-frequency keywords of these articles were health care, quality of life, primary care, home care, community, chronic disease, long term care, mental health, etc, and the burst terms were long term care, case management, quality of life, community, rehabilitation, telehealth, all inclusive care, etc. According to the centrality of co-citation clustering, the top one article was World Report on Ageing and Health published by the World Health Organization. Conclusions Elderly integrated care has been paid increasing international attention. In recent years, integrated care, transitional care, case management and telecare have become research hotspots. With the key policies of people-centred and integrated health services, primary care, and community-level interventions, typical countries have developed basic models of elderly integrated care. The above theories and experiences can provide references for the practice of elderly integrated care in China.
ObjectivesTo survey the domestic research situation of evidence-based education through visual studies. To summarize the utilization of education evidence in China and promote the process of evidence-based practice concepts and methods application in social science fields, so as to facilitate the domestic evidence-based research towards more scientific and practical. Methods WanFang Data and CNKI databases were searched to collect evidence-based education literatures from inception to December, 2017. Tableau and UCINET software were used to conduct visual and co-word analysis of study types, regions, staff, time, foundation/government support and key words. The social evidence based research situation was sketched. Results A total of 54 literatures were included. Beijing and Guangdong province published the most literatures, followed by Zhejiang province and Tianjin municipality. The quantity of literatures published in 2014 reached the peak of 11 articles, followed by 2016 and 2017, and relatively few in remaining years. We found that " evidence-based pedagogy” owned the highest frequency through building core keywords matrix. Conclusions Evidence-based education in China is still at an early stage. Introduction and promotion is currently the main content. There exists problems remaining in the development of evidence-based education, for instance disjointedness of theory and practice, regional unbalance, and deficiency of original-research. It is still a long way to go.