International Journal of Telemedicine and Applications最新文献

{"title":"Requirements, Challenges, and Key Components to Improve Onboard Medical Care Using Maritime Telemedicine: Narrative Review.","authors":"Niloofar Mohammadzadeh,&nbsp;Marsa Gholamzadeh","doi":"10.1155/2023/9389286","DOIUrl":"https://doi.org/10.1155/2023/9389286","url":null,"abstract":"<p><strong>Introduction: </strong>Telemedicine has been able to bring healthcare services to all people in far locations such as the sea. Our main objective was to overview the main features, challenges, and requirements of applying telemedicine at sea.</p><p><strong>Methods: </strong>The electronic search includes all types of papers published in English. It was performed in four databases with keywords to Feb 2023. Next, main categories were defined to extract major concepts. By mapping extracted themes, maritime telemedicine concepts were represented in two conceptual models.</p><p><strong>Results: </strong>After screening the papers based on title and abstract, 18 articles remained. They can be divided into 13 categories based on their clinical domains. Out of 18 reviewed articles, six articles were published in 2020. The greatest number of studies with five articles was conducted in France. Evidence showed that maritime telemedicine service can be provided to all kinds of ships. Regarding clinical domains, the greatest demand belonged to primary care problems (5 papers) and general health assessment (4 papers). Challenges were divided into four main categories. Moreover, the required services and equipment in four categories were described too. Finally, a conceptual model is represented for providing telemedicine services at sea using satellite Internet.</p><p><strong>Conclusion: </strong>Despite the existing challenges in providing the required equipment and resources for the implementation of maritime medicine, it has an important role in providing better care for seafarers without time limitations.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"9389286"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9714573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sharing and Cooperation of Improved Cross-Entropy Optimization Algorithm in Telemedicine Multimedia Information Processing.","authors":"Hongjiao Wu","doi":"10.1155/2023/7353489","DOIUrl":"https://doi.org/10.1155/2023/7353489","url":null,"abstract":"<p><p>In order to improve the efficiency of medical multimedia information sharing, this paper combines cloud computing technology and SOA (service-oriented architecture) technology to build a medical multimedia information sharing system. Building a medical information sharing platform requires integrating information resources stored in information systems of medical institutions and nonmedical information systems related to medical information and forming a huge resource pool. It is important to mine and analyze the information resources in the resource pool to realize the sharing and interaction of medical information. To this end, this paper proposes a gain-adaptive control algorithm with online adjustable parameters and investigates the extension of the mutual entropy optimization algorithm in the control domain and its integrated processing capability in the process of medical multimedia information processing. In addition, this paper constructs a medical multimedia information sharing and collaboration platform with medical multimedia information sharing and telemedicine as the core and verifies the effectiveness of the platform through experiments. The simulation results and comparison results with other systems prove that the system in this paper can realize fast data processing, retrieve and analyze massive data, and meet the demand of remote intelligent diagnosis under the premise of safety and stability. Meanwhile, the system in this paper can help hospitals achieve fast and accurate diagnosis, which has strong theoretical and practical values.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"7353489"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010882/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9129333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Musculoskeletal Telemedicine Trends Preceding the COVID-19 Pandemic and Potential Implications of Rapid Telemedicine Expansion.","authors":"Sara N Kiani,&nbsp;Logan D Cho,&nbsp;Jashvant Poeran,&nbsp;Lauren Wilson,&nbsp;Haoyan Zhong,&nbsp;Madhu Mazumdar,&nbsp;Jiabin Liu,&nbsp;Alejandro Gonzalez Della Valle,&nbsp;Stavros G Memtsoudis","doi":"10.1155/2023/9900145","DOIUrl":"https://doi.org/10.1155/2023/9900145","url":null,"abstract":"<p><strong>Introduction: </strong>Telemedicine was rapidly deployed at the onset of the COVID-19 pandemic. Little has been published on telemedicine in musculoskeletal care prior to the COVID-19 pandemic. This study is aimed at characterizing trends in telemedicine for musculoskeletal care preceding the COVID-19 pandemic.</p><p><strong>Methods: </strong>This retrospective study used insurance claims from the Truven MarketScan database. Musculoskeletal-specific outpatient visits from 2014 to 2018 were identified using the musculoskeletal major diagnostic category ICD-10 codes. Telemedicine visits were categorized using CPT codes and Healthcare Common Procedure Coding Systems. We described annual trends in telemedicine in the overall dataset and by diagnosis grouping. Multivariable logistic regression modeling estimated the association between patient-specific and telemedicine visit variables and telemedicine utilization.</p><p><strong>Results: </strong>There were 36,672 musculoskeletal-specific telemedicine visits identified (0.020% of all musculoskeletal visits). Overall, telemedicine utilization increased over the study period (0% in 2014 to 0.05% in 2018). Orthopedic surgeons had fewer telemedicine visits than primary care providers (OR 0.57, 95% CI 0.55-0.59). The proportion of unique patients utilizing telemedicine in 2018 was higher in the south (OR 2.28, 95% CI 2.19-2.38) and west (OR 5.58, 95% CI 5.36-5.81) compared to the northeast. Those with increased comorbidities and lower incomes and living in rural areas had lower rates of telemedicine utilization.</p><p><strong>Conclusions: </strong>From 2014 to 2018, there was an increase in telemedicine utilization for musculoskeletal visits, in part due to insurance reimbursement and telemedicine regulation. Despite this increase, the rates of telemedicine utilization are still lowest in some of the groups that could derive the most benefit from these services. Establishing this baseline is important for assessing how the roll-out of telemedicine during the pandemic impacted how/which patients and providers are utilizing telemedicine today.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"9900145"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848805/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10581268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction of Telemedicine in a Prehospital Emergency Care Setting: A Pilot Study.","authors":"Christophe Jobé,&nbsp;Pierre-Nicolas Carron,&nbsp;Pierre Métrailler,&nbsp;Jean-Marc Bellagamba,&nbsp;Alexandre Briguet,&nbsp;Line Zurcher,&nbsp;Fabrice Dami","doi":"10.1155/2023/1171401","DOIUrl":"https://doi.org/10.1155/2023/1171401","url":null,"abstract":"<p><strong>Background: </strong>Advances in information and communication technology have led to telemedicine applications that could support paramedics in the prehospital field. In an effort to optimise the available resources like prehospital emergency physicians (PHP), the State Health Services of a Swiss state decided to launch a pilot study on the feasibility of using telemedicine in the prehospital emergency setting.</p><p><strong>Objective: </strong>The primary objective was to measure the number of missions completed without technical problems with remote PHP support through telemedicine (tele-PHP). The secondary objectives were to evaluate the safety of this protocol and to describe the actions and decisions that clinicians can make by using tele-PHP.</p><p><strong>Methods: </strong>This was a prospective observational pilot study on all missions involving the dispatch of ground PHP or tele-PHP. The severity score, dispatch criteria, actions, and decisions made by ground PHP and tele-PHP were collected.</p><p><strong>Results: </strong>PHP were dispatched simultaneously with an ambulance on 478 occasions, including 68 (14%) situations that started directly with tele-PHP. Among those situations, three had to be transformed into on-site PHP missions after the on-site evaluation by paramedics. Fifteen missions were cancelled by paramedics once they were on site, and six missions encountered a connection issue. Forty-four PHP missions that were dispatched simultaneously with paramedics were completed by tele-PHP only without any connection problems. Paramedics and PHP estimated that actions or decisions were provided by PHP in 66% of the on-site PHP missions and 34% of the tele-PHP missions.</p><p><strong>Conclusions: </strong>This is the first experience of tele-PHP regarding PHP dispatch in Switzerland. Despite the small number of missions carried out, tele-PHP could be used for well-selected situations to reduce the need for a PHP on site.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2023 ","pages":"1171401"},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063356/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9595968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Telehealth and Transformation of Nursing Care in Saudi Arabia: A Systematic Review.","authors":"Ibrahim Al Baalharith,&nbsp;Mona Al Sherim,&nbsp;Sarah Hamad G Almutairi,&nbsp;Azizah Saleh Alhaggas Albaqami","doi":"10.1155/2022/8426095","DOIUrl":"https://doi.org/10.1155/2022/8426095","url":null,"abstract":"<p><strong>Introduction: </strong>Technological advancements have transformed nursing care, quality, and education across the globe. In the Kingdom of Saudi Arabia (KSA), the inventions and adoption of mobile technologies such as an e-health application (app) called SEHA continue to revolutionize the healthcare system in the country.</p><p><strong>Purpose: </strong>The present systematic review is aimed at examining the technological impact on nursing in Saudi Arabia. The study provides a comprehensive analysis of telehealth and its role in nursing quality, nursing practice, and education.</p><p><strong>Methods: </strong>The present study adopted a literature review methodology by deriving data from journal articles from different databases, for example, Web Science, Google Scholar, CINAHL, MEDLINE, and PubMed databases. Inclusive years for the search ranged from 2016 to 2022. A total of eight articles were found dovetailing to meet the research objectives and answer research questions.</p><p><strong>Result: </strong>After appraising and analyzing the research, the present review found that (Abolfotouh et al., 2019) telehealth in nursing is loosely researched; (Ahmed et al., 2021) telehealth impacts nursing practice and quality by fostering nurse-patient communication promoting positive outcomes, seamless nursing care, and positive experiences; and (Albahri et al., 2021) telehealth and telemedicine is a central tenet of contemporary nursing education and practice.</p><p><strong>Conclusion: </strong>From these findings, this analysis informed three key recommendations: the need to integrate telehealth into the nursing curriculum, telehealth training, and reskilling among healthcare workers (HCWs) in KSA and further primary studies focusing predominantly on telenursing. Overall, telehealth remains a fundamental transformation of nursing practice that forms a central ideology in the contemporary nursing process.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2022 ","pages":"8426095"},"PeriodicalIF":4.4,"publicationDate":"2022-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553846/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33516263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multifactor Authentication for Smart Emergency Medical Response Transporters.","authors":"Turki Alghamdi,&nbsp;Fayez Gebali,&nbsp;Fares Salem","doi":"10.1155/2022/5394942","DOIUrl":"https://doi.org/10.1155/2022/5394942","url":null,"abstract":"<p><p>Securing telehealth IoT infrastructure is essential to provide high-level medical care and prevent cyberattacks. A vulnerable stage in IoT telehealth is while the patient is being transported to a healthcare facility, the transporter could be an ambulance or an air ambulance. In this paper, we propose a multifactor authentication scheme to secure the system when the patient is in transit to the healthcare facility. We apply this scheme to an ambulance, using physical unclonable functions (PUFs) embedded in the ambulance to facilitate authentication and secure key exchange. We validated the security of the proposed scheme using formal and informal security analysis. The analysis supports our claim that the proposed scheme protects against many types of attacks.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2022 ","pages":"5394942"},"PeriodicalIF":4.4,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33486776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Enhanced Posture Prediction-Bayesian Network Algorithm for Sleep Posture Recognition in Wireless Body Area Networks","authors":"A. Roshini, K. Kiran","doi":"10.1155/2022/3102545","DOIUrl":"https://doi.org/10.1155/2022/3102545","url":null,"abstract":"Wireless body area networks have taken their unique recognition in providing consistent facilities in health monitoring. Several studies influence physiological signal monitoring through a centralized approach using star topology in regular activities like standing, walking, sitting, and running which are considered active postures. Unlike regular activities like walking, standing, sitting, and running, the in-bed sleep posture monitoring of a subject is highly necessary for those who have undergone surgery, victims of breathing problems, and victims of COVID-19 for whom oxygen imbalance is a major issue as the mortality rate in sleep is high due to unattended patients. Suggestions from the medical field state that the patients with the above-mentioned issues are highly suggested to follow the prone sleep posture that enables them to maintain the oxygen level in the human body. A distributed model of communication is used where mesh topology is used for the data packets to be carried in a relay fashion to the sink. Heartbeat rate (HBR) and image monitoring of the subject during sleep are closely monitored and taken as input to the proposed posture prediction-Bayesian network (PP-BN) to predict the consecutive postures to increase the accuracy rate of posture recognition. The accuracy rate of the model outperforms the existing classification and prediction algorithms which take the cleaned dataset as input for better prediction results.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49615983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy of Telemedicine Utilization for Cardiac Outpatients' Care during the Pandemic of COVID-19: A Large Center Experience in the Wave of the Pandemic.","authors":"Wesam A Alhejily","doi":"10.1155/2022/4156436","DOIUrl":"10.1155/2022/4156436","url":null,"abstract":"<p><strong>Introduction: </strong>Synchronous telemedicine using teleconferencing may play a role in clinical care. In a tertiary care center, video conferencing-enhanced virtual clinics were established via a new application platform. They were introduced during COVID-19 pandemic to connect patients to trained health-care providers via a secured line. While maintaining patients' privacy, they were theorized to offer effective communications and continuous clinical care. In this cross-sectional cohort study, we ought to examine the impact of service and the assistance they may offer to cardiac patients in the outpatient setup.</p><p><strong>Methods: </strong>A prospective cohort study looking at all video-conferencing virtual clinics' visits during the pandemic with primary focus on cardiac outpatient clinic, addressing primary endpoints of need for admission or emergency visits from cardiac demises during the pandemic and secondary endpoint of patient satisfaction based on patients' experiences.</p><p><strong>Results: </strong>A total of 6000 live care video-based chats were made over 10 months period from March 10^th, 2020, to January 30^th, 2021, among which 277 patients were evaluated in the virtual cardiac clinic, of these 193 (69.7%) were males, with mean age of 48 ± 15.60 (22.3%), patients were requested to present to clinic for further evaluation and testing, 20 (7.2%) patients were asked to visit the emergency room, of whom 8 (2.8%) patients were hospitalized. All 8 were admitted for high-risk findings that require immediate medical attention, 4/8 underwent cardiac catheterization, mean duration of admission was 2 ± 1 days. When compared to regular walk-in care, there was a statistical difference in admission rate and emergency visits <i>p</i> = 0.001 and <i>p</i> = 0.0001, respectively, both were statistically higher in the virtual clinic. The satisfaction rate in a 5-scale grading system was 97% of 4 and above recommending the continuation of the service beyond pandemic time.</p><p><strong>Conclusions: </strong>Video-enhanced virtual cardiology clinic works safely and efficiently during COVID-19 pandemic with a difference in admission rate and ER visits when compared to walk-in clinic. It can be used during nonpandemic time to reduce load on hospital and clinic crowdedness. It also decreases the chances of COVID-19 transmission indirectly by reenforcing physical distance.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2022 1","pages":"4156436"},"PeriodicalIF":3.1,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43580260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Smart Chatbot for Interactive Management in Beta Thalassemia Patients","authors":"Alma Mohammed Alturaiki, H. Banjar, A. Barefah, Salwa A. Alnajjar, S. Hindawi","doi":"10.1155/2022/9734518","DOIUrl":"https://doi.org/10.1155/2022/9734518","url":null,"abstract":"Background β-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of β-thalassemia patients. This life-saving therapy is linked to numerous assessments and complications that now comprise most thalassemia management considerations. Consequently, many patients do not receive adequate information about the required assessments, as indicated by evidence-based medical guidelines. Patients with β-thalassemia may benefit from chatbots that follow up on their condition and that provide the required assessment information. Self-management will hopefully have a positive impact on health outcomes. Objectives This study aims to develop a chatbot that can assist in the management of β-thalassemia by providing the assessment information required to monitor patients' statuses. Methods The chatbot operated as a messaging system. A question/answer system was created based on knowledge pertaining to β-thalassemia assembled from experts, medical guidelines, and articles. Recommendations regarding the patient's follow-up assessment are made based on the answers. Results A prototype was implemented to demonstrate how the chatbots could dynamically and flexibly provide the assessment information required to follow up on and monitor patients. A small sample of adults with β-thalassemia used the chatbot to examine the system's usability and perceived utility. A system usability scale and utility scale were implemented to complete a post-test survey. The chatbots were considered by 34 patients, of whom the majority (72%) found them easy to use, while more than 90% of patients considered their use beneficial. Most of the participants agreed that the chatbots could improve their knowledge about their β-thalassemia assessments. Conclusion Our findings suggest that chatbots can be beneficial to the development of recommended tests and management related to the assessment of β-thalassemia.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48238043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network","authors":"Varun Magotra, Mukesh Kumar Rohil","doi":"10.1155/2022/4176982","DOIUrl":"https://doi.org/10.1155/2022/4176982","url":null,"abstract":"The applications of AI in the healthcare sector are increasing day by day. The application of convolutional neural network (CNN) and mask-region-based CNN (Mask-RCCN) to the medical domain has really revolutionized medical image analysis. CNNs have been prominently used for identification, classification, and feature extraction tasks, and they have delivered a great performance at these tasks. In our study, we propose a lightweight CNN, which requires less time to train, for identifying malaria parasitic red blood cells and distinguishing them from healthy red blood cells. To compare the accuracy of our model, we used transfer learning on two models, namely, the VGG-19 and the Inception v3. We train our model in three different configurations depending on the proportion of data being fed to the model for training. For all three configurations, our proposed model is able to achieve an accuracy of around 96%, which is higher than both the other models that we trained for the same three configurations. It shows that our model is able to perform better along with low computational requirements. Therefore, it can be used more efficiently and can be easily deployed for detecting malaria cells.","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44299229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}