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Laura Fanea - One of the best experts on this subject based on the ideXlab platform.

  • disease Strategy Management for future artificial intelligence based ocular magnetic resonance imaging
    Journal of Translational Research, 2020
    Co-Authors: Laura Fanea
    Abstract:

    ?Artificial intelligence (AI) implementations in remedy will growth the performance of scientific offerings. Appropriate software implementation in ophthalmology is suggested to keep away from, save you, or treat the socio-economic issues due to blindness and visible impairment. Artificial Intelligence (AI) will assist scientific experts compare at the very best viable requirements any clinical circumstance providing the most complicated and accurate medical information within the maximum speedy manner.

  • eye 2019 disease Strategy Management for future artificial intelligence based ocular magnetic resonance imaging laura fanea cluj county emergency hospital
    Research and Reports in Medical Sciences, 2020
    Co-Authors: Laura Fanea
    Abstract:

    Artificial intelligence (AI) implementation in medicine will increase the efficiency of medical services. Appropriate program implementation in ophthalmology is recommended to avoid, prevent, or treat the socio-economic issues caused by blindness and visual impairment. Artificial Intelligence (AI) will help medical specialists evaluate at the highest possible standards any medical condition offering the most complex and accurate medical information in the most rapid way. The complex geometric-physicochemical quantitative information offered by Magnetic Resonance Imaging (MRI) on the qualitative anatomical bio physiology and/or pathophysiology of the eye covers the main eye structures: Cornea, aqueous humor, ciliary body, lens, vitreous humor, sclera, optic nerve, and three retinal layers. Implementation of AI-based MRI techniques in ophthalmology could, therefore, play a crucial role in reducing the present socio-economic burden caused by eye disease. Objective: To develop a disease Management approach for the direct and immediate implementation of AI MRI Methods: Relations between particular quantitative MRI limitations available in the works and the corresponding physio-anatomy were made to figure the human MRI physio-anatomical state chart (hMRI_PASC). Pathology can be assessed using the relative-to-normal (RN) values of each MRI parameter for corresponding control-normal (CN) and disease-affected (DA) regions, based on the equation: RN_Parameter(%)=multiply(100,divide(subtract(ParameterDA, ParameterCN), (ParameterCN))). The RN_Parameter 50% absolute value threshold for the selected MRI parameters was used to define a medical state severity staging scale (MCSSS). The disease Management plan is presented for a scenario of DA human MRI organ model, the eye, using the hMRI_PASC, and MCSSS. Artificial intelligence (AI) is considered the third eye for medical specialists and has a promising perspective field for medical imaging, offering the most complex and accurate information to patients and medical specialists in the most rapid way through the most performance of medical evaluations. AI-based imaging is needed to reduce the socio-economic burden caused by disease and improve the efficiency in radiology departments. The current situation of AI in medical imaging has been analyzed recently and the future directions have been suggested. Wandell et al., Benson et al., Jiang et al., and Dumoulin et al., have already made some steps in these directions and developed complex AI algorithms for image analyses. Strategies for data Management to support reproducible research, the influence of feedback in intelligence processes, and algorithms for more rapid MRI data acquisition were also evaluated. Many Artificial intelligence developments are suitable for MRI due to the wealth of qualitative and quantitative pathophysiological info offered for any organ in the human body and the low imaging invasiveness. The brain, prostate, heart, breast, and eye are the human organs most frequently evaluated using multiparametric MRI in recent years. Software developers need simple specifications for explainable MRI to implement these developments in AI-based clinical radiology. Conditions for reasonable MRI were obtained from complex correlations between the geometric-physicochemical MRI parameters and the consistent pathophysiology to evaluate the rat brain. A generalization of this approach combined with the already available clinical AI-based strategies for medical diagnosis in dermatology and cardiology was made to assess the clinical MRI data available in the literature and grow in the human MRI physio-anatomical state chart (hMRI_PASC) and the medical condition performance scale (MCSSS) for AI-based disease administration. These results can be presented directly and immediately in software for AI-based clinical ocular MRI. Findings: Detailed MRI physio-anatomical characteristics were defined based on the analyses of the MRI parameters evaluated. The complex disease staging scale was built using the relative-to-normal values calculated for the normal subjects and the MRI physio-anatomy defined. A scenario for AI-based ocular MRI is also presented. Results: The specifications relevant for the diagnosis of a medical condition detected are presented in the hMRI_PASC . The IDE MCSSS presented was used to detect bio-physiological changes in the regions-of-interest, produced by external agent infiltration, changes in the dynamics of the 1H nuclei in water molecules, and/or elastic deformations. Infiltration of blood or T1 and/or T2 lengthening or shortening agents, macromolecules, calcifications, and iron particles through broken blood vessels or broken blood vessels and blood-to-tissue barriers can be detected using MRI. The dynamics of the 1H nuclei in water molecules can be assessed with diffusion and flow-sensitive MRI techniques applied to different regions of the human body. Inflammation, constriction, or stiffness of regions can be detected in MRI elastography studies. The geometric-physicochemical parameters in Table 1 were used to analyse the physiological IDE status of a region-of-interest based on the hMRI_PASC. Discussion: Results in this study can easily and immediately be implemented in AI-based ocular MRI and demonstrate the feasibility of introducing AI-based analysis of ocular MRI scans. This could potentially support a program for the prevention and treatment of eye disease. The research has developed and described here has 3 main compatibility areas: •           human anatomy •           medical procedure •           imaging technique The hMRI_PASC and MCSSS in this study have universal human body applicability. The Strategy for disease Management is explained with an ocular MRI example, but it can be generalized to any organ. The research method developed in this study can be further developed to integrate all imaging techniques used at present in radiology. A similar method to that presented here might be used to develop AI-based medical imaging strategies and spread the MCSSS for MRI in this study to: • Ultrasonography • Computed tomography • Positron emission tomography • Laser or infrared medical imaging Example: The research method presented in this study is compatible with many medical procedures: diagnosis, prognosis, response to therapy, and surgery, for example. After the generalization to these 3 main compatibility areas has been achieved, software developers can integrate the research method in software for general human body AI-based medical imaging. Note: This work is partly presented at World Eye and Vision Congress December 09-10, 2019 Dubai, UAE

Abad Alvarado, Jose Patricio - One of the best experts on this subject based on the ideXlab platform.

  • El Cuadro de Mando Integral Aplicado a la Planificación Estratégica de la Banca Privada
    2019
    Co-Authors: Abad Alvarado, Jose Patricio
    Abstract:

    The present research consisted in the application of the Balance ScoreCard (BSC) to the Strategic Planning of Private Banking, specifically Banco del Austro. The bibliographic-documentary review technique and the case study were used for the development of this work. The work concludes stating that the BSC ensures the alignment between finance, market, technology and innovation, while being essential as a communication Strategy, Management control device and corporate Strategy. The results in the strategic objectives identified in the perspectives of learning and growth would allow the Banco del Austro to promote its internal work processes, which, in turn, would help the organization to obtain the desired results in the perspectives of clients and finances. In turn, the results obtained in the control process would enable them to acquire an overview of the real disadvantages in the strategic implementation process and initiate a line of corrective activities. In summary, the BSC will provide Banco del Austro managers with a complete overview of the entity, including operational measures to satisfy customers, level of innovation and activity to improve the organization, as well as financial measuresEl presente trabajo se planteó como objetivo aplicar el Cuadro de Mando Integral (CMI) a la Planificación Estratégica de la Banca Privada, caso Banco del Austro. Para el desarrollo del trabajo se empleó la técnica de la revisión bibliográfica-documental y el estudio de casos. Se concluye el trabajo constatando que el CMI asegura la alineación entre finanzas, mercado, tecnología e innovación, al tiempo que resulta indispensable como estrategia de comunicación, dispositivo de control de gestión y de la estrategia corporativa. Los resultados en los objetivos estratégicos identificados en las perspectivas de aprendizaje y crecimiento permitirían al Banco del Austro promover sus procesos de trabajo internos, lo que, a su vez, ayudaría a la organización a obtener los resultados deseados en las perspectivas de clientes y finanzas. A su vez, los resultados obtenidos en el proceso de control le posibilitarían adquirir una visión general de las desventajas reales en el proceso de implementación estratégica e iniciarían una línea de actividades correctivas. En resumen, el CMI proporcionará a los administradores del Banco del Austro una visión completa de la entidad, incluidas medidas operativas para satisfacer a los clientes, nivel de innovación y actividad para mejorar la organización, así como medidas financieras

  • El Cuadro de Mando Integral Aplicado a la Planificación Estratégica de la Banca Privada.//The Balanced Scorecard Applied to the Strategic Planning of Private Banking.
    'Universidad Estatal de Milagro (UNEMI)', 2019
    Co-Authors: Abad Alvarado, Jose Patricio
    Abstract:

    El presente trabajo se planteó como objetivo aplicar el Cuadro de Mando Integral (CMI) a la Planificación Estratégica de la Banca Privada, caso Banco del Austro. Para el desarrollo del trabajo se empleó la técnica de la revisión bibliográfica-documental y el estudio de casos. Se concluye el trabajo constatando que el CMI asegura la alineación entre finanzas, mercado, tecnología e innovación, al tiempo que resulta indispensable como estrategia de comunicación, dispositivo de control de gestión y de la estrategia corporativa. Los resultados en los objetivos estratégicos identificados en las perspectivas de aprendizaje y crecimiento permitirían al Banco del Austro promover sus procesos de trabajo internos, lo que, a su vez, ayudaría a la organización a obtener los resultados deseados en las perspectivas de clientes y finanzas. A su vez, los resultados obtenidos en el proceso de control le posibilitarían adquirir una visión general de las desventajas reales en el proceso de implementación estratégica e iniciarían una línea de actividades correctivas. En resumen, el CMI proporcionará a los administradores del Banco del Austro una visión completa de la entidad, incluidas medidas operativas para satisfacer a los clientes, nivel de innovación y actividad para mejorar la organización, así como medidas financieras.AbstractThe present research consisted in the application of the Balance ScoreCard (BSC) to the Strategic Planning of Private Banking, specifically Banco del Austro. The bibliographic-documentary review technique and the case study were used for the development of this work. The work concludes stating that the BSC ensures the alignment between finance, market, technology and innovation, while being essential as a communication Strategy, Management control device and corporate Strategy. The results in the strategic objectives identified in the perspectives of learning and growth would allow the Banco del Austro to promote its internal work processes, which, in turn, would help the organization to obtain the desired results in the perspectives of clients and finances. In turn, the results obtained in the control process would enable them to acquire an overview of the real disadvantages in the strategic implementation process and initiate a line of corrective activities. In summary, the BSC will provide Banco del Austro managers with a complete overview of the entity, including operational measures to satisfy customers, level of innovation and activity to improve the organization, as well as financial measures

Hanna Silvola - One of the best experts on this subject based on the ideXlab platform.

  • exploring the relationships between Strategy innovation and Management control systems the roles of social networking organic innovative culture and formal controls
    Journal of Management Accounting Research, 2011
    Co-Authors: Robert H Chenhall, Juhapekka Kallunki, Hanna Silvola
    Abstract:

    ABSTRACT:  This paper is concerned with the relationship between Strategy, Management control systems (MCS), and innovation. MCS are described in terms of a package of controls that is comprised of social networking, organic innovative culture, and formal controls. We develop a path model that proposes that product differentiation is associated with more extensive innovation. It is argued that this association is explained, in part, by paths from product differentiation to the three dimensions of MCS, and then paths from these MCS dimensions to innovation. Using a survey of Russian enterprises we confirm that product differentiation is associated with innovation. Also, product differentiation is associated with each dimension of the MCS. Organic innovative culture and formal controls have direct paths to innovation, while social networking has an effect on innovation by acting indirectly through its connection with organic innovative culture. JEL Classification: M41.

  • exploring the relationships between Strategy innovation and Management control systems the roles of social networking organic innovative culture and formal controls
    2010
    Co-Authors: Robert H Chenhall, Juhapekka Kallunki, Hanna Silvola
    Abstract:

    This paper is concerned with the relationship between Strategy, Management control systems (MCS) and innovation. MCS are described in terms of a package of controls comprising social networking, organic innovative culture and formal controls. We develop a path model that proposes that product differentiation is associated with more extensive innovation. It is argued that this association is explained, in part, by paths from product innovation to the three dimensions of MCS, and then paths from these MCS dimensions to innovation. Using a survey of Russian enterprises we confirm that product differentiation is associated with innovation. Also, product differentiation is associated with each dimension of the MCS. Organic innovative culture and formal controls have direct paths to innovation, while social networking has an effect on innovation acting indirectly through its connection with organic innovative culture.

Dong In Kim - One of the best experts on this subject based on the ideXlab platform.

  • a survey on consensus mechanisms and mining Strategy Management in blockchain networks
    IEEE Access, 2019
    Co-Authors: Wenbo Wang, Dinh Thai Hoang, Zehui Xiong, Dusit Niyato, Ping Wang, Yonggang Wen, Dong In Kim
    Abstract:

    The past decade has witnessed the rapid evolution in blockchain technologies, which has attracted tremendous interests from both the research communities and industries. The blockchain network was originated from the Internet financial sector as a decentralized, immutable ledger system for transactional data ordering. Nowadays, it is envisioned as a powerful backbone/framework for decentralized data processing and data-driven self-organization in flat, open-access networks. In particular, the plausible characteristics of decentralization, immutability, and self-organization are primarily owing to the unique decentralized consensus mechanisms introduced by blockchain networks. This survey is motivated by the lack of a comprehensive literature review on the development of decentralized consensus mechanisms in blockchain networks. In this paper, we provide a systematic vision of the organization of blockchain networks. By emphasizing the unique characteristics of decentralized consensus in blockchain networks, our in-depth review of the state-of-the-art consensus protocols is focused on both the perspective of distributed consensus system design and the perspective of incentive mechanism design. From a game-theoretic point of view, we also provide a thorough review of the Strategy adopted for self-organization by the individual nodes in the blockchain backbone networks. Consequently, we provide a comprehensive survey of the emerging applications of blockchain networks in a broad area of telecommunication. We highlight our special interest in how the consensus mechanisms impact these applications. Finally, we discuss several open issues in the protocol design for blockchain consensus and the related potential research directions.

  • A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks
    'Institute of Electrical and Electronics Engineers (IEEE)', 2019
    Co-Authors: Wang Wenbo, Hoang, Dinh Thai, Hu Peizhao, Xiong Zehui, Niyato Dusit, Wang Ping, Wen Yonggang, Dong In Kim
    Abstract:

    The past decade has witnessed the rapid evolution in blockchain technologies, which has attracted tremendous interests from both the research communities and industries. The blockchain network was originated from the Internet financial sector as a decentralized, immutable ledger system for transactional data ordering. Nowadays, it is envisioned as a powerful backbone/framework for decentralized data processing and data-driven self-organization in flat, open-access networks. In particular, the plausible characteristics of decentralization, immutability and self-organization are primarily owing to the unique decentralized consensus mechanisms introduced by blockchain networks. This survey is motivated by the lack of a comprehensive literature review on the development of decentralized consensus mechanisms in blockchain networks. In this survey, we provide a systematic vision of the organization of blockchain networks. By emphasizing the unique characteristics of incentivized consensus in blockchain networks, our in-depth review of the state-of-the-art consensus protocols is focused on both the perspective of distributed consensus system design and the perspective of incentive mechanism design. From a game-theoretic point of view, we also provide a thorough review on the Strategy adoption for self-organization by the individual nodes in the blockchain backbone networks. Consequently, we provide a comprehensive survey on the emerging applications of the blockchain networks in a wide range of areas. We highlight our special interest in how the consensus mechanisms impact these applications. Finally, we discuss several open issues in the protocol design for blockchain consensus and the related potential research directions.Comment: 40 pages, 26 figures, 230 reference

  • A survey on consensus mechanisms and mining Strategy Management in blockchain networks
    'Institute of Electrical and Electronics Engineers (IEEE)', 2019
    Co-Authors: Wang Wenbo, Hoang, Dinh Thai, Hu Peizhao, Xiong Zehui, Niyato Dusit, Wang Ping, Wen Yonggang, Dong In Kim
    Abstract:

    The past decade has witnessed the rapid evolution in blockchain technologies, which has attracted tremendous interests from both the research communities and industries. The blockchain network was originated from the Internet financial sector as a decentralized, immutable ledger system for transactional data ordering. Nowadays, it is envisioned as a powerful backbone/framework for decentralized data processing and data-driven self-organization in flat, open-access networks. In particular, the plausible characteristics of decentralization, immutability, and self-organization are primarily owing to the unique decentralized consensus mechanisms introduced by blockchain networks. This survey is motivated by the lack of a comprehensive literature review on the development of decentralized consensus mechanisms in blockchain networks. In this paper, we provide a systematic vision of the organization of blockchain networks. By emphasizing the unique characteristics of decentralized consensus in blockchain networks, our in-depth review of the state-of-the-art consensus protocols is focused on both the perspective of distributed consensus system design and the perspective of incentive mechanism design. From a game-theoretic point of view, we also provide a thorough review of the Strategy adopted for self-organization by the individual nodes in the blockchain backbone networks. Consequently, we provide a comprehensive survey of the emerging applications of blockchain networks in a broad area of telecommunication. We highlight our special interest in how the consensus mechanisms impact these applications. Finally, we discuss several open issues in the protocol design for blockchain consensus and the related potential research directions.NRF (Natl Research Foundation, S’pore)MOE (Min. of Education, S’pore)Published versio

Juliana Ordonez - One of the best experts on this subject based on the ideXlab platform.

  • damage control surgery may be a safe option for severe non trauma peritonitis Management proposal of a new decision making algorithm
    World Journal of Surgery, 2021
    Co-Authors: Carlos A Ordonez, Michael W Parra, Alberto Garcia, Fernando Rodriguez, Yaset Caicedo, J J Serna, Alexander Salcedo, Josefa Franco, Luis Eduardo Toro, Juliana Ordonez
    Abstract:

    Damage control surgery (DCS) has emerged as a new option in the Management of non-traumatic peritonitis patients to increase survival in critically ill patients. The purpose of this study was to compare DCS with conventional Strategy (anastomosis/ostomies in the index laparotomy) for severe non-traumatic peritonitis regarding postoperative complications, ostomy rate, and mortality and to propose a useful algorithm in the clinical practice. Patients who underwent an urgent laparotomy for non-trauma peritonitis at a single level I trauma center in Colombia between January 2003 and December 2018, were retrospectively included. We compared patients who had DCS Management versus definitive initial surgical Management (DISM) group. We evaluated clinical outcomes and morbidities among groups. 290 patients were included; 81 patients were treated with DCS and 209 patients underwent DISM. Patients treated with DCS had a worse critical status before surgery with higher SOFA score [median, DCS group: 5 (IQR: 3–8) vs. DISM group: 3 (IQR: 1–6), p   6 points and APACHE-II > 20 points correlated with a higher probability of DCS. DCS in severe non-trauma peritonitis patients is feasible and safe as surgical Strategy Management without increasing mortality, length hospital of stay, or complications. DCS principles might be applied in the non-trauma scenarios without increase the stoma rate.

  • Damage Control Surgery may be a Safe Option for Severe Non-Trauma Peritonitis Management: Proposal of a New Decision-Making Algorithm
    World Journal of Surgery, 2020
    Co-Authors: Carlos A Ordonez, Alberto Garcia, Fernando Rodriguez, Yaset Caicedo, J J Serna, Alexander Salcedo, Josefa Franco, Luis Eduardo Toro, Michael Parra, Juliana Ordonez
    Abstract:

    Background Damage control surgery (DCS) has emerged as a new option in the Management of non-traumatic peritonitis patients to increase survival in critically ill patients. The purpose of this study was to compare DCS with conventional Strategy (anastomosis/ostomies in the index laparotomy) for severe non-traumatic peritonitis regarding postoperative complications, ostomy rate, and mortality and to propose a useful algorithm in the clinical practice. Methods Patients who underwent an urgent laparotomy for non-trauma peritonitis at a single level I trauma center in Colombia between January 2003 and December 2018, were retrospectively included. We compared patients who had DCS Management versus definitive initial surgical Management (DISM) group. We evaluated clinical outcomes and morbidities among groups. Results 290 patients were included; 81 patients were treated with DCS and 209 patients underwent DISM. Patients treated with DCS had a worse critical status before surgery with higher SOFA score [median, DCS group: 5 (IQR: 3–8) vs. DISM group: 3 (IQR: 1–6), p   6 points and APACHE-II > 20 points correlated with a higher probability of DCS. Conclusion DCS in severe non-trauma peritonitis patients is feasible and safe as surgical Strategy Management without increasing mortality, length hospital of stay, or complications. DCS principles might be applied in the non-trauma scenarios without increase the stoma rate.