ObjectivesTo analyze and track the hotspots and frontiers of the field of frailty by analyzing the related research published by SCI-journals in recent decade.MethodsData of publications from 2010 to 2019 were retrieved from the Web of Science Core Collection database. CiteSpace was used to analyze the hotspots and frontiers of frailty research from high-impact countries/regions, institutions, authors, high-frequency keywords and burst terms.ResultsA total of 12 768 publications were identified. The United States was the leading country for publications. Research hotspots focused on adverse health outcomes associated with frailty, interventions, and frailty in elderly patients and females. Besides, frailty assessment and screening, cohort study, meta-analysis and cognitive impairment were the frontier fields.ConclusionsAdverse health outcomes associated with frailty, interventions, and frailty in elderly patients and females are the hotspots and frontiers of frailty research.
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.
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 hotspots and frontiers of oral lichen planus research by bibliometric methods.MethodsWe searched Web of Science Core Collection database to obtain studies on oral lichen planus from inception to January 1st, 2020. After data extraction, Excel 2016 and CiteSpace software were used to carry out descriptive and visual analysis.ResultsA total of 3 105 articles and reviews were included, and the annual publication volume showed a steady growth trend. The research hotspot terms of oral lichen planus were cancer, lesion, and management of the disease. Moreover, pathogenesis, potentially malignant disorder, classification, and diagnosis were defined as novel research frontiers.ConclusionsThrough the bibliometric method, the research hotspots and frontiers of oral lichen planus are displayed intuitively, which provides references for future research.
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.
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.
Statistical graph is an indispensable part of scientific papers. It is helpful to promote the communication, dissemination, and application of academic achievements by presenting research results intuitively and accurately through standardized and beautiful visual graphs. The safety of a medical intervention is the basic premise of its clinical application, and randomized controlled trial (RCT) as an important design to determine the efficacy and safety of medical interventions, it is extremely important to accurately present the information on the safety outcomes of interventions found therein. However, the research found that the reports of RCTs didn’t adequately use visual graphs to present harms data. In order to promote clinical researchers to better use visual graphs to present harms data, international scholars recently published a consensus study in BMJ, which identified and recommended 10 statistical graphs for presenting harms data in RCTs. In order to facilitate domestic scholars to understand and apply the consensus, this article interprets the consensus and recommendations, and it is expected to provide help for improving the quality of harms visualization in domestic papers of RCTs.
Monitoring airway impedance has significant clinical value in accurately assessing and diagnosing pulmonary function diseases at an early stage. To address the issue of large oscillator size and high power consumption in current pulmonary function devices, this study adopts a new strategy of expiration-driven oscillation. A lightweight and low-power airway impedance monitoring system with integrated sensing, control circuitry, and dynamic feedback system, providing visual feedback on the system’s status, was developed. The respiratory impedance measurement experiments and statistical comparisons indicated that the system could achieve stable measurement of airway impedance at 5 Hz. The frequency spectrum curves of respiratory impedance (R and X) showed consistent trends with those obtained from the clinical pulmonary function instrument, specifically the impulse oscillometry system (IOS). The differences between them were all less than 1.1 cm H2O·s/L. Additionally, there was a significant statistical difference in the respiratory impedance R5 between the exercise and rest groups, which suggests that the system can measure the variability of airway resistance parameters during exercise. Therefore, the impedance monitoring system developed in this study supports subjects in performing handheld, continuous measurements of dynamic changes in airway impedance over an extended period of time. This research provides a foundation for further developing low-power, portable, and even wearable devices for dynamic monitoring of pulmonary function.
It is difficult to distinguish the inferior alveolar nerve (IAN) from other tissues inside the IAN canal due to their similar CT values in the X image which are smaller than that of the bones. The direct reconstruction, therefore, is difficult to achieve the effects. The traditional clinical treatments mainly rely on doctors' manually drawing the X images so that some subjective results could not be avoided. This paper proposes the partition reconstruction of IAN canal based on shape features. According to the anatomical features of the IAN canal, we divided the image into three parts and treated the three parts differently. For the first, the directly part of the mandibular, we used Shape-driven Level-set Algorithm Restrained by Local Information (BSLARLI) segment IAN canal. For the second part, the mandibular body, we used Space B-spline curve fitting IAN canal's center, then along the center curve established the cross section. And for the third part, the mental foramen, we used an adaptive threshold Canny algorithm to extract IAN canal's edge to find center curve, and then along it established the cross section similarly. Finally we used the Visualization Toolkit (VTK) to reconstruct the CT data as mentioned above. The VTK reconstruction result by setting a different opacity and color values of tissues CT data can perspectively display the INA canal clearly. The reconstruction result by using this method is smoother than that using the segmentation results and the anatomical structure of mental foramen position is similar to the real tissues, so it provides an effective method for locating the spatial position of the IAN canal for implant surgeries.
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.