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The Added Value of 3D Imaging and 3D Printing in Head and Neck Surgeries 3D成像和3D打印在头颈部手术中的附加价值
Q2 Nursing Pub Date : 2021-07-01 DOI: 10.4018/IJRQEH.2021070105
Evgenia Parioti, Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, O. Petropoulou, D. Koutsouris
3D imaging and 3D printing are two methods that have been proven very useful in medicine. The objective of 3D medical imaging is to recreate the static and functional anatomy of the inner body. The development of computational systems for image processing and multidimensional monitoring of medical data is important for diagnosis and treatment planning. The technique of 3D printing has enabled the materialization of anatomical models and surgical splints using medical imaging data. The methods of 3D imaging and 3D printing have been utilized in various medical fields such as neuroimaging, neurosurgery, dentistry, otolaryngology and facial plastic surgery. This review aims to evaluate the use of 3D imaging and 3D printing techniques in head and neck surgery and concludes that these technologies have revolutionized medicine. However, improvements in healthcare systems and further research still have to be made to establish their use in everyday medical practices.
3D成像和3D打印是被证明在医学上非常有用的两种方法。三维医学成像的目的是重建内部身体的静态和功能解剖。发展用于图像处理和医疗数据多维监测的计算系统对诊断和治疗计划非常重要。3D打印技术已经能够利用医学成像数据实现解剖模型和外科夹板的物化。3D成像和3D打印的方法已经应用于神经成像、神经外科、牙科、耳鼻喉科和面部整形外科等各个医学领域。这篇综述旨在评估3D成像和3D打印技术在头颈部手术中的应用,并得出结论,这些技术已经彻底改变了医学。然而,医疗系统的改进和进一步的研究仍然需要在日常医疗实践中建立它们的应用。
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引用次数: 0
Kirlian Experimental Analysis and IoT 克里安实验分析与物联网
Q2 Nursing Pub Date : 2021-04-01 DOI: 10.4018/IJRQEH.2021040104
R. Rastogi, M. Saxena, D. K. Chaturvedi, M. Gupta, Akshit Rajan Rastogi, Mukund Rastogi, Ankur Sharma, S. Sagar
Our entire body, including the brain and nervous system, works with the help of various kinds of biological stuff which includes positively charged ions of elements like sodium, potassium, and calcium. The different body parts have different energy levels, and by measuring the energy level, we can also measure the fitness of an individual. Moreover, this energy and fitness are directly related to mental health and the signals being transmitted between the brain and other parts of the body. Various activities like walking, talking, eating, and thinking are performed with the help of these transmission signals. Another critical role played by them is that it helps in examining the mechanisms of cells present at various places in the human body and signaling the nervous system and brain if they are properly functioning or not. This manuscript is divided into two parts where, in the first part, it provides the introduction, background, and extensive literature survey on Kirlian experiments to measure the human's organ energy.
我们的整个身体,包括大脑和神经系统,都在各种生物物质的帮助下工作,这些生物物质包括钠、钾和钙等带正电的元素离子。不同的身体部位有不同的能量水平,通过测量能量水平,我们也可以测量个人的健康状况。此外,这种能量和健康与心理健康以及大脑和身体其他部位之间传递的信号直接相关。各种活动,如走路、说话、吃饭和思考,都是在这些传输信号的帮助下进行的。它们发挥的另一个关键作用是,它有助于检查人体不同部位细胞的机制,并向神经系统和大脑发出信号,表明它们是否正常工作。本文分为两部分,第一部分介绍了测量人体器官能量的Kirlian实验的概况、背景和广泛的文献综述。
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引用次数: 0
COVID-19 Infection in Pediatric Population 儿童人群中的COVID-19感染
Q2 Nursing Pub Date : 2021-01-01 DOI: 10.4018/ijrqeh.2021010102
Eftychia Ferentinou, D. Pappa, C. Dafogianni
COVID-19 disease, caused by SARS-CoV-2 virus infection, started in the province of Wuhan in China in December 2019 and has reached pandemic proportions by March 2020 affecting many countries worldwide. The purpose of this review is to present scientific evidence found until April 30, 2020 on the characteristics of COVID-19 in the pediatric population. Bibliographical review of articles has been conducted through PubMed and Google Scholar, from January to April. Most of the research included was conducted in China because only a small number of studies from Europe and other affected areas could be found, as the pandemic is still in progress. As for the children, the disease turns up with mild symptoms while the mortality rate in childhood is particularly low. The diagnosis of the disease is made through specific criteria, while a therapeutic protocol is applied for the treatment of the disease. The virus is mainly transmitted through the respiratory tract, although it has not been scientifically proven that the virus is transmitted through vertical transmission from mother to fetus.
由SARS-CoV-2病毒感染引起的新冠肺炎疾病于2019年12月在中国武汉省开始流行,到2020年3月已达到大流行程度,影响全球许多国家。本综述的目的是提供截至2020年4月30日在儿科人群中发现的关于新冠肺炎特征的科学证据。从1月到4月,PubMed和Google Scholar对文章进行了文献综述。大部分研究都是在中国进行的,因为由于疫情仍在进行中,只能找到来自欧洲和其他受影响地区的少量研究。至于儿童,这种疾病症状轻微,而儿童死亡率特别低。该疾病的诊断是通过特定的标准进行的,而治疗方案则适用于该疾病的治疗。病毒主要通过呼吸道传播,尽管尚未科学证明病毒是通过母亲向胎儿的垂直传播传播的。
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引用次数: 0
Game-Based Learning to Enhance the Reading Ability of Children With Autism or Other Learning Difficulties 以游戏为基础的学习提高自闭症或其他学习困难儿童的阅读能力
Q2 Nursing Pub Date : 2020-10-01 DOI: 10.4018/IJRQEH.2020100105
Y. Koumpouros
The paper presents the design of a highly customizable game for children with autism spectrum disorder facing learning difficulties. The same solution can be used for children with or without other developmental disorders facing learning difficulties. The scope of the research was to create a generic solution to facilitate the learning process of reading in the targeted population. The latest pedagogical approaches (TEACCH, PECS, ABA, Makaton, etc.) are combined with appropriate gamification techniques to produce the desired outcome. The game has been developed with the unity game engine in order to run in any device. The final solution has been pilot tested in a small group of highly-functioning children with autism. The results of the design process and the early findings from the pilot testing are presented in the current paper.
本文为面临学习困难的自闭症谱系障碍儿童设计了一款高度可定制的游戏。同样的解决方案可以用于患有或不患有其他面临学习困难的发育障碍的儿童。研究的范围是创建一个通用的解决方案,以促进目标人群的阅读学习过程。最新的教学方法(TEACCH、PECS、ABA、Makaton等)与适当的游戏化技术相结合,以产生所需的结果。游戏是用统一游戏引擎开发的,以便在任何设备上运行。最终的解决方案已经在一小群功能强大的自闭症儿童中进行了试点测试。本文介绍了设计过程的结果和初步测试的早期发现。
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引用次数: 0
End-of-Life Decision-Making for Severely Ill Newborns 危重新生儿的临终决策
Q2 Nursing Pub Date : 2020-10-01 DOI: 10.4018/IJRQEH.2020100103
I. Chatziioannidis, E. Gkiougki, A. Pouliakis, Z. Iliodromiti, R. Sokou, Takis Vidalis, T. Boutsikou, T. Xanthos, N. Iacovidou
Advances in neonatology enabled significant improvements in neonatal survival, often at the expense of long-term morbidity. End-of-life decisions concern neonatal patients with fatal congenital anomalies, severe neurological deficits, and extreme prematurity at the limits of viability, presenting a complex issue for both healthcare professionals and parents. Since newborns cannot express their wishes or claim their rights, physicians and parents carry the responsibility to decide in their best interests, considering their future quality of life. Harmonization of scientific progress and legislation defining clear rules is necessary so neonatologists can proceed to such agonizing decisions. Greece lacks both specific legislation regarding such decisions and medical training on handling respective ethical dilemmas. Thus, guidelines improving such decisions are closely related to the quality of the healthcare system and should be established along with the legal system's adaptation.
新生儿科学的进步使新生儿存活率显著提高,但往往以长期发病率为代价。临终决定涉及患有致命先天性畸形、严重神经系统缺陷和极度早产的新生儿患者,这对医疗专业人员和父母来说都是一个复杂的问题。由于新生儿不能表达自己的意愿或主张自己的权利,医生和父母有责任考虑到他们未来的生活质量,为他们的最大利益做出决定。为了让新生儿学家能够做出如此痛苦的决定,科学进步和制定明确规则的立法之间的协调是必要的。希腊既缺乏关于此类决定的具体立法,也缺乏处理各自道德困境的医疗培训。因此,改进此类决策的指导方针与医疗保健系统的质量密切相关,应随着法律系统的调整而制定。
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引用次数: 0
The Australian National Disability Insurance Scheme and People With Disabilities From CALD Backgrounds 澳大利亚国家残疾保险计划与CALD背景下的残疾人
Q2 Nursing Pub Date : 2020-07-01 DOI: 10.4018/ijrqeh.2020070101
H. Adibi
The National Disability Insurance Scheme (NDIS) is considered to be the second greatest reform in healthcare in Australia after the introduction of Medicare in Australia in 1983. This reform was introduced in 2012 in two phases. The first phase as a trial took place for three years. The expectation was that the reform will be rolled out by 2019 or 2020. This article argues that the trial implementation process has achieved very positive outcomes in the lives of a great number of people with disability in Australia. At the same time, NDIS is facing many serious challenges in some areas. One of the obvious challenges is that this reform is a market approached reform. The second challenge relates to meeting the needs of minorities. People with disabilities from Culturally and Linguistically Divers (CALD) backgrounds are one of the five most venerable, underutilised users of NDIS services in Australia. They have no strong voice and negotiable abilities. The main question here is how NDIS is to meet its commitment to satisfy the needs of these vulnerable people in Australia.
国家残疾保险计划(NDIS)被认为是继1983年澳大利亚引入医疗保险之后,澳大利亚第二大医疗改革。这项改革于2012年分两个阶段实施。第一阶段作为试验进行了三年。当时的预期是,改革将在2019年或2020年推出。本文认为,试验实施过程在澳大利亚大量残疾人的生活中取得了非常积极的成果。与此同时,NDIS在某些领域面临许多严峻挑战。显而易见的挑战之一是,这项改革是一项以市场为导向的改革。第二个挑战涉及满足少数群体的需要。来自文化和语言多样性(CALD)背景的残疾人是澳大利亚NDIS服务五大最受尊敬、利用率最低的用户之一。他们没有强有力的发言权和谈判能力。这里的主要问题是NDIS如何履行其承诺,满足澳大利亚这些弱势群体的需求。
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引用次数: 0
Third Age and Mobile Health 第三,年龄和流动保健
Q2 Nursing Pub Date : 2019-10-01 DOI: 10.4018/ijrqeh.2019100104
A. Pouliakis
It is well known that the earth population is aging; in the forthcoming decades, a so called “silver tsunami” is expected. By 2050 the forecasted population aged 65 years or more, is expected to be globally about 2 billion. Simultaneously, a “technological tsunami” related to advances in digital technology and especially mobile telephony and the internet and accompanied by cloud computing and the Internet of Things has appeared. In this article the role of mobile technologies towards the quality of life improvement for the aged population is investigated in an effort to answer the question: “will these two tsunamis operate in a synergistic manner for the benefit of the third age?”
众所周知,地球人口正在老龄化;在接下来的几十年里,一场所谓的“银发海啸”有望出现。到2050年,预计全球65岁或以上的人口将达到20亿左右。与此同时,一场与数字技术特别是移动电话和互联网的进步有关的“技术海啸”已经出现,并伴随着云计算和物联网的出现。在这篇文章中,移动技术对改善老年人口生活质量的作用进行了调查,以努力回答这个问题:“这两个海啸是否会以协同的方式为第三个年龄的利益而运作?”
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引用次数: 1
Artificial Intelligence via Competitive Learning and Image Analysis for Endometrial Malignancies 基于竞争学习和图像分析的人工智能在子宫内膜恶性肿瘤中的应用
Q2 Nursing Pub Date : 2019-10-01 DOI: 10.4018/ijrqeh.2019100102
A. Pouliakis, N. Margari, Effrosyni Karakitsou, G. Valasoulis, Nektarios Koufopoulos, Nikolaos Koureas, E. Alamanou, V. Pergialiotis, V. Damaskou, I. Panayiotides
Objective of this study is to investigate the potential of an artificial intelligence (AI) technique, based on competitive learning, for the discrimination of benign from malignant endometrial nuclei and lesions. For this purpose, 416 liquid-based cytological smears with histological confirmation were collected, each smear corresponded to one patient. From each smear was extracted nuclear morphometric features by the application of an image analysis system. Subsequently nuclei measurement from 50% of the cases were used to train the AI system to classify each individual nucleus as benign or malignant. The remaining measurement, from the unused 50% of the cases, were used for AI system performance evaluation. Based on the results of nucleus classification the patients were discriminated as having benign or malignant disease by a secondary subsystem specifically trained for this purpose. Based on the results it was conclude that AI based computerized systems have the potential for the classification of both endometrial nuclei and lesions.
本研究的目的是研究基于竞争学习的人工智能(AI)技术在区分良性和恶性子宫内膜细胞核和病变方面的潜力。为此,收集了416份经组织学证实的液体细胞学涂片,每份涂片对应一名患者。通过应用图像分析系统从每个涂片中提取细胞核形态计量特征。随后,使用50%病例的细胞核测量来训练AI系统,将每个细胞核分为良性或恶性。剩余的测量,来自未使用的50%的案例,用于人工智能系统性能评估。根据细胞核分类的结果,通过专门为此目的训练的次级子系统将患者区分为良性或恶性疾病。基于这些结果,可以得出结论,基于人工智能的计算机系统具有对子宫内膜细胞核和病变进行分类的潜力。
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引用次数: 4
Computational Modelling in Epidemiological Dispersion Using Diffusion and Epidemiological Equations 基于扩散方程和流行病学方程的流行病学扩散计算模型
Q2 Nursing Pub Date : 2019-10-01 DOI: 10.4018/ijrqeh.2019100101
G. Lambrou, K. Hatziagapiou, Petros Toumpaniaris, Penelope Konstantina Ioannidou, D. Koutsouris
Although a considerable amount of knowledge is gathered concerning diseases and their transmission, still more is to learn on their mathematical modelling. The present work reviews the existent knowledge on models of epidemiological dispersion, the creation of a new form of an epidemiological diffusion equation, and the subsequent application of this equation to the investigation of epidemiological phenomena. Towards that scope, the authors have used mathematical models which have been previously reported, as well as algorithmic approaches of stochastic nature for the solution of complex functions. In particular, they have used dynamic programming algorithms, Robbins-Monro and Kiefer-Wolfowitz stochastic optimization algorithms, Markov chains and cellular automata. The modified diffusion equation could potentially provide a useful tool to the investigation of epidemiological phenomena. More research is required in order to explore the extent of its possibilities and uses.
虽然已经收集了大量关于疾病及其传播的知识,但更多的是要学习疾病的数学建模。本工作回顾了流行病学扩散模型的现有知识,创建了一种新形式的流行病学扩散方程,并随后将该方程应用于流行病学现象的调查。在这个范围内,作者使用了以前报道过的数学模型,以及求解复杂函数的随机性质的算法方法。特别是,他们使用了动态规划算法、罗宾斯-门罗和基弗-沃尔福威茨随机优化算法、马尔可夫链和元胞自动机。修正后的扩散方程可能为流行病学现象的研究提供一个有用的工具。需要进行更多的研究,以探索其可能性和用途的程度。
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引用次数: 0
Modeling Uncertainty Based on Spatial Models in Spreading Diseases 基于疾病传播空间模型的不确定性建模
Q2 Nursing Pub Date : 2019-10-01 DOI: 10.4018/ijrqeh.2019100103
S. Zimeras, Y. Matsinos
Lately, spatial models have become a powerful, necessary statistical tool to estimate parameters where data are represented by regions of interests using the window method . Estimation processes based on the high dimensionality of the data have become difficult to implement especially in cases where variability in the spatial models is the main task to investigate. Variability between spatial models considering hierarchical levels of scale, most of the time, involves errors leading to uncertainty in spatial regions. Solving the problem with uncertainty via the estimation of errors in spatial models, complex models could be simplified in easiest ones and important decisions for the quality of data could be taken.
近年来,空间模型已成为一种强大的、必要的统计工具,用于使用窗口方法估计由兴趣区域表示的数据的参数。基于高维数据的估计过程已经变得难以实施,特别是在空间模型的变异性是主要调查任务的情况下。考虑尺度层次的空间模型之间的可变性,在大多数情况下涉及导致空间区域不确定性的误差。通过对空间模型误差的估计来解决不确定性问题,可以将复杂的模型简化为最简单的模型,并对数据质量做出重要决策。
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引用次数: 3
期刊
International Journal of Reliable and Quality E-Healthcare
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