Pub Date : 2021-11-19DOI: 10.1142/s242486222150024x
Anjee Gorkhali, Rajib Chowdhury
Blockchain technology has gained widespread utility, particularly in the field of finance due to the popularity of bitcoin. There are other areas such as energy trade and securities market, which have evolved due to blockchain. These fields are new and building regulations and architecture to enhance their functionality. There are studies on blockchain finance and this paper aims to summarize a few of the pathbreaking studies and guide future research in this field. This paper reviews 77 journal publications related to blockchain from 2018 to 2021 available in the Science Citation Index (SCI) and Social Science Citation Index (SSCI) database. The selected papers have been grouped into 10 categories. This overview indicates that research in blockchain finance needs to focus on developing better privacy and security mechanism as well as better regulations regarding financial transactions not only to benefit from “Initial Coin Offerings”, but also to diversify investor’s risk.
{"title":"Blockchain and the Evolving Financial Market: A Literature Review","authors":"Anjee Gorkhali, Rajib Chowdhury","doi":"10.1142/s242486222150024x","DOIUrl":"https://doi.org/10.1142/s242486222150024x","url":null,"abstract":"Blockchain technology has gained widespread utility, particularly in the field of finance due to the popularity of bitcoin. There are other areas such as energy trade and securities market, which have evolved due to blockchain. These fields are new and building regulations and architecture to enhance their functionality. There are studies on blockchain finance and this paper aims to summarize a few of the pathbreaking studies and guide future research in this field. This paper reviews 77 journal publications related to blockchain from 2018 to 2021 available in the Science Citation Index (SCI) and Social Science Citation Index (SSCI) database. The selected papers have been grouped into 10 categories. This overview indicates that research in blockchain finance needs to focus on developing better privacy and security mechanism as well as better regulations regarding financial transactions not only to benefit from “Initial Coin Offerings”, but also to diversify investor’s risk.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90679457","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}
Pub Date : 2021-10-28DOI: 10.1142/s2424862221500226
A. Amiri, A. Salmasnia, Meraj Zarifi, M. Maleki
In recent years, adaptive control charts in which the design parameters depend on the observed samples have been successfully used as efficient alternatives for traditional control charts with constant parameters. In crisp run control rules, the process state may change very sharply from in-control to out-of-control conditions which increase the rate of false alarms. To overcome this drawback, this paper presents an adaptive Shewhart-type control chart, where the design parameters (sample size ([Formula: see text]), sampling interval ([Formula: see text]), and control limit coefficients ([Formula: see text] and [Formula: see text])) are defined with linguistic variables. To accomplish that, the chart parameters are determined based on the location of eight previous chart statistics using a set of fuzzy rules in a continuous environment. In order to improve the sensitivity of the proposed control chart in detecting small shifts in both location and scale parameters, the adaptive procedure is designed by integration of fuzzy Western Electric rules and fuzzy adaptive sampling rules. After designing the control charts using a fuzzy inference system (FIS), in order to provide an economic design of the proposed control chart, a tuned Particle Swarm Optimization (PSO) algorithm is employed to determine the optimal values corresponding to membership functions of the control chart parameters. Finally, using simulation studies, the capability of the proposed control chart is analyzed and compared with common charts in the literature. The results confirm that under different shifts in location and scale parameters, the proposed control chart outperforms other charts in terms of both economic and statistical criteria.
{"title":"Adaptive Shewhart Control Charts Under Fuzzy Parameters with Tuned Particle Swarm Optimization Algorithm","authors":"A. Amiri, A. Salmasnia, Meraj Zarifi, M. Maleki","doi":"10.1142/s2424862221500226","DOIUrl":"https://doi.org/10.1142/s2424862221500226","url":null,"abstract":"In recent years, adaptive control charts in which the design parameters depend on the observed samples have been successfully used as efficient alternatives for traditional control charts with constant parameters. In crisp run control rules, the process state may change very sharply from in-control to out-of-control conditions which increase the rate of false alarms. To overcome this drawback, this paper presents an adaptive Shewhart-type control chart, where the design parameters (sample size ([Formula: see text]), sampling interval ([Formula: see text]), and control limit coefficients ([Formula: see text] and [Formula: see text])) are defined with linguistic variables. To accomplish that, the chart parameters are determined based on the location of eight previous chart statistics using a set of fuzzy rules in a continuous environment. In order to improve the sensitivity of the proposed control chart in detecting small shifts in both location and scale parameters, the adaptive procedure is designed by integration of fuzzy Western Electric rules and fuzzy adaptive sampling rules. After designing the control charts using a fuzzy inference system (FIS), in order to provide an economic design of the proposed control chart, a tuned Particle Swarm Optimization (PSO) algorithm is employed to determine the optimal values corresponding to membership functions of the control chart parameters. Finally, using simulation studies, the capability of the proposed control chart is analyzed and compared with common charts in the literature. The results confirm that under different shifts in location and scale parameters, the proposed control chart outperforms other charts in terms of both economic and statistical criteria.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76614243","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}
Pub Date : 2021-10-21DOI: 10.1142/s2424862221300040
M. Javaid, Abid Haleem, R. Singh, R. Suman
Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs, and they want to achieve this with the collaborative partnership between robotics and people. In smart industries, hyperconnected manufacturing processes depend on different machines that interact using AI automation systems by capturing and interpreting all data types. Smart platforms of automation can play a decisive role in transforming modern production. AI provides appropriate information to take decision-making and alert people of possible malfunctions. Industries will use AI to process data transmitted from the Internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. This literature review-based paper aims to brief the vital role of AI in successfully implementing Industry 4.0. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students and industry professionals in this paper. First, it discusses the significant technological features and traits of AI, critical for Industry 4.0. Second, this paper identifies the significant advancements and various challenges enabling the implementation of AI for Industry 4.0. Finally, the paper identifies and discusses significant applications of AI for Industry 4.0. With an extensive review-based exploration, we see that the advantages of AI are widespread and the need for stakeholders in understanding the kind of automation platform they require in the new manufacturing order. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them. Thus, AI technology is gradually accomplishing various goals of Industry 4.0.
{"title":"Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study","authors":"M. Javaid, Abid Haleem, R. Singh, R. Suman","doi":"10.1142/s2424862221300040","DOIUrl":"https://doi.org/10.1142/s2424862221300040","url":null,"abstract":"Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs, and they want to achieve this with the collaborative partnership between robotics and people. In smart industries, hyperconnected manufacturing processes depend on different machines that interact using AI automation systems by capturing and interpreting all data types. Smart platforms of automation can play a decisive role in transforming modern production. AI provides appropriate information to take decision-making and alert people of possible malfunctions. Industries will use AI to process data transmitted from the Internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. This literature review-based paper aims to brief the vital role of AI in successfully implementing Industry 4.0. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students and industry professionals in this paper. First, it discusses the significant technological features and traits of AI, critical for Industry 4.0. Second, this paper identifies the significant advancements and various challenges enabling the implementation of AI for Industry 4.0. Finally, the paper identifies and discusses significant applications of AI for Industry 4.0. With an extensive review-based exploration, we see that the advantages of AI are widespread and the need for stakeholders in understanding the kind of automation platform they require in the new manufacturing order. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them. Thus, AI technology is gradually accomplishing various goals of Industry 4.0.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76188529","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}
Pub Date : 2021-10-18DOI: 10.1142/s2424862221500251
H. Elhegazy, N. Badra, S. Haggag, Ibrahim Abdel Rashid
{"title":"Implementation of the Neural Networks for Improving the Project's Performance of Steel Structures Projects","authors":"H. Elhegazy, N. Badra, S. Haggag, Ibrahim Abdel Rashid","doi":"10.1142/s2424862221500251","DOIUrl":"https://doi.org/10.1142/s2424862221500251","url":null,"abstract":"","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79866049","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}
Pub Date : 2021-09-20DOI: 10.1142/s2424862221500214
Victoria Wolf, R. Dobrucka, R. Przekop, S. Haubold
Generating innovations is one of the key success factors of companies and organizations. To constantly create new innovations, an effective innovation strategy must be implemented by companies. Therefore, a variation of different strategic frameworks has been formulated. One framework which combines the idea of Open Innovation with startup-based interaction is the startup-orientated cooperative innovation (SOCI) strategy. The PANDA initiative of Fresenius University of Applied Science can be characterized as a coupled process of the SOCI framework. This paper presents the results of a survey, analyzing the impact of PANDA on the innovation strategies of the chemical and pharmaceutical industry based on the innovation attributes defined by the Oslo Manual 2018. The survey was used to compare 12 PANDA project evaluations implementing by European chemical and pharmaceutical companies. The main results of this study show that PANDA represents an effective tool to foster early-stage innovation development and indicates general effectiveness of SOCI strategies for chemical and pharmaceutical companies.
{"title":"PANDA as a Startup-Orientated Cooperative Innovation Strategy for the Chemical and Pharmaceutical Industry","authors":"Victoria Wolf, R. Dobrucka, R. Przekop, S. Haubold","doi":"10.1142/s2424862221500214","DOIUrl":"https://doi.org/10.1142/s2424862221500214","url":null,"abstract":"Generating innovations is one of the key success factors of companies and organizations. To constantly create new innovations, an effective innovation strategy must be implemented by companies. Therefore, a variation of different strategic frameworks has been formulated. One framework which combines the idea of Open Innovation with startup-based interaction is the startup-orientated cooperative innovation (SOCI) strategy. The PANDA initiative of Fresenius University of Applied Science can be characterized as a coupled process of the SOCI framework. This paper presents the results of a survey, analyzing the impact of PANDA on the innovation strategies of the chemical and pharmaceutical industry based on the innovation attributes defined by the Oslo Manual 2018. The survey was used to compare 12 PANDA project evaluations implementing by European chemical and pharmaceutical companies. The main results of this study show that PANDA represents an effective tool to foster early-stage innovation development and indicates general effectiveness of SOCI strategies for chemical and pharmaceutical companies.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85761358","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}
Pub Date : 2021-05-05DOI: 10.1142/S2424862221020012
L. Li
{"title":"Editorial: Leveraging Emerging Technology to Fight the COVID-19 Pandemic","authors":"L. Li","doi":"10.1142/S2424862221020012","DOIUrl":"https://doi.org/10.1142/S2424862221020012","url":null,"abstract":"","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80769264","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}
Pub Date : 2021-04-24DOI: 10.1142/S2424862221500196
Preeti Joshi, R. Tyagi, K. Agarwal
The COVID-19 pandemic has had a global effect with several people dying daily due to the dreaded disease. Therefore, each individual has a duty to support the efforts of their countries either financially, socially, technically, or by any other means to contribute to the fight against the COVID-19 pandemic. During this crisis, engineers can come up with innovations to fight the pandemic. One of the reasons for the death of a patient suffering from COVID-19 was the lack of resources required for patient care. The doctors who are taking care of COVID patients could get infected due to lack or the deficiency of available safety kits. Some of the resources required to fight COVID-19 are personal protective equipment (PPE) (e.g. gloves, gowns, face masks and shields for respiratory and eye protection respectively), mechanical ventilators and body vital monitoring devices. Engineers can contribute to the fight against COVID-19, by developing compact size ventilators, 3D printed face shield, masks, door handles, hand sanitizer, etc. The available medicines to fight the disease are still under development and trials with limited options at present has led to deaths among patients mostly those who are elderly or having any co-morbid condition. The deficiency of medicine availability can be resolved up to some extent by applying tools of supply chain management.
{"title":"Technological Resources for Fighting COVID-19 Pandemic Health Issues","authors":"Preeti Joshi, R. Tyagi, K. Agarwal","doi":"10.1142/S2424862221500196","DOIUrl":"https://doi.org/10.1142/S2424862221500196","url":null,"abstract":"The COVID-19 pandemic has had a global effect with several people dying daily due to the dreaded disease. Therefore, each individual has a duty to support the efforts of their countries either financially, socially, technically, or by any other means to contribute to the fight against the COVID-19 pandemic. During this crisis, engineers can come up with innovations to fight the pandemic. One of the reasons for the death of a patient suffering from COVID-19 was the lack of resources required for patient care. The doctors who are taking care of COVID patients could get infected due to lack or the deficiency of available safety kits. Some of the resources required to fight COVID-19 are personal protective equipment (PPE) (e.g. gloves, gowns, face masks and shields for respiratory and eye protection respectively), mechanical ventilators and body vital monitoring devices. Engineers can contribute to the fight against COVID-19, by developing compact size ventilators, 3D printed face shield, masks, door handles, hand sanitizer, etc. The available medicines to fight the disease are still under development and trials with limited options at present has led to deaths among patients mostly those who are elderly or having any co-morbid condition. The deficiency of medicine availability can be resolved up to some extent by applying tools of supply chain management.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80517718","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}
Pub Date : 2021-04-07DOI: 10.1142/S2424862221300039
S. M. Bohloul
Over the past two decades, the topic of service-oriented architecture (SOA) has attracted considerable attention among researchers and practitioners. Despite a lot of efforts to study it from different points of view (mostly from a technological perspective), little is done to develop our understanding of SOA from an organizational perspective. Therefore, this study aims at reviewing the literature on SOA from an organizational point of view. To this end, 65 journal papers (published between 2005 and 2020) were selected from different electronic databases for study. After a careful review of selected papers, four distinct categories of research themes were identified: SOA adoption, implementation, governance, and organizational impacts and applications. Moreover, major factors influencing SOA adoption as well as potential areas of impact of SOA in firms were determined.
{"title":"Service-Oriented Architecture: A Review of State-of-the-Art Literature From an Organizational Perspective","authors":"S. M. Bohloul","doi":"10.1142/S2424862221300039","DOIUrl":"https://doi.org/10.1142/S2424862221300039","url":null,"abstract":"Over the past two decades, the topic of service-oriented architecture (SOA) has attracted considerable attention among researchers and practitioners. Despite a lot of efforts to study it from different points of view (mostly from a technological perspective), little is done to develop our understanding of SOA from an organizational perspective. Therefore, this study aims at reviewing the literature on SOA from an organizational point of view. To this end, 65 journal papers (published between 2005 and 2020) were selected from different electronic databases for study. After a careful review of selected papers, four distinct categories of research themes were identified: SOA adoption, implementation, governance, and organizational impacts and applications. Moreover, major factors influencing SOA adoption as well as potential areas of impact of SOA in firms were determined.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85919290","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}
Pub Date : 2021-03-19DOI: 10.1142/S2424862221300027
M. Azeem, Abid Haleem, M. Javaid
Industry 4.0 though launched less than a decade ago, has revolutionized the way technologies are being used. It has found its application in almost every field of manufacturing, cybersecurity, health, banking, and other services. Industry 4.0 is heavily dependent on interconnectivity and data. Machine learning (ML) acts as a foundation for building industry 4.0 applications. In this paper, we have provided a broad view of how ML is necessary to accomplish the benefits of industry 4.0. The paper includes ML usage in companies and the limitations of ML, which need to be mitigated. There are also some instances of the failure of ML algorithms and their repercussions. Though industry 4.0 requires a lot more inputs and capital than normal processes, the long-run benefits outweigh the initial costs. ML is gaining popularity, and extensive research is happening to exploit its potential and develop full smart applications.
{"title":"Symbiotic Relationship Between Machine Learning and Industry 4.0: A Review","authors":"M. Azeem, Abid Haleem, M. Javaid","doi":"10.1142/S2424862221300027","DOIUrl":"https://doi.org/10.1142/S2424862221300027","url":null,"abstract":"Industry 4.0 though launched less than a decade ago, has revolutionized the way technologies are being used. It has found its application in almost every field of manufacturing, cybersecurity, health, banking, and other services. Industry 4.0 is heavily dependent on interconnectivity and data. Machine learning (ML) acts as a foundation for building industry 4.0 applications. In this paper, we have provided a broad view of how ML is necessary to accomplish the benefits of industry 4.0. The paper includes ML usage in companies and the limitations of ML, which need to be mitigated. There are also some instances of the failure of ML algorithms and their repercussions. Though industry 4.0 requires a lot more inputs and capital than normal processes, the long-run benefits outweigh the initial costs. ML is gaining popularity, and extensive research is happening to exploit its potential and develop full smart applications.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81631273","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}
Pub Date : 2021-03-12DOI: 10.1142/S2424862221300015
M. Javaid, I. Khan
Virtual reality (VR) has applications in cardiology to create enhancement, thereby improving the quality of associated planning, treatment and surgery. The need is to study different applications of this technology in the field of cardiology. We have studied research papers on VR and its applications in cardiology through a detailed bibliometric analysis. The study identified five significant steps for proper implementation of this technology in cardiology. Some challenges are to be undertaken by using this technology, and they can provide some benefits; thus, authors contemplate extensive research and development. This study also identifies 10 major VR technology applications in cardiology and provided a brief description. This innovative technology helps a heart surgeon to perform complex heart surgery effectively. Thus, VR applications have the potential for improving decision-making, which helps save human life. VR plays a significant role in the development of a surgical procedure. This technology undertakes 3D heart model information in full colour, which helps to analyze the overall heart vane, blockage and blood flow. With the help of this digital technology, a surgeon can improve the accuracy of heart surgery, and he can simulate the surgery. A surgeon can undertake surgery in a virtual environment on a virtual patient. The unique purpose of this technology is to practice pre-operatively on the specific circumstance. A cardiologist can also check the proper status of inner and outer heart wall layer. Thus, by using this 3D information, the surgeon can now interact with heart data/information without any physical touch. This technology opens a new opportunity to improve the heart surgery and development in cardiovascular treatment to improve patient outcome.
{"title":"Virtual Reality (VR) Applications in Cardiology: A Review","authors":"M. Javaid, I. Khan","doi":"10.1142/S2424862221300015","DOIUrl":"https://doi.org/10.1142/S2424862221300015","url":null,"abstract":"Virtual reality (VR) has applications in cardiology to create enhancement, thereby improving the quality of associated planning, treatment and surgery. The need is to study different applications of this technology in the field of cardiology. We have studied research papers on VR and its applications in cardiology through a detailed bibliometric analysis. The study identified five significant steps for proper implementation of this technology in cardiology. Some challenges are to be undertaken by using this technology, and they can provide some benefits; thus, authors contemplate extensive research and development. This study also identifies 10 major VR technology applications in cardiology and provided a brief description. This innovative technology helps a heart surgeon to perform complex heart surgery effectively. Thus, VR applications have the potential for improving decision-making, which helps save human life. VR plays a significant role in the development of a surgical procedure. This technology undertakes 3D heart model information in full colour, which helps to analyze the overall heart vane, blockage and blood flow. With the help of this digital technology, a surgeon can improve the accuracy of heart surgery, and he can simulate the surgery. A surgeon can undertake surgery in a virtual environment on a virtual patient. The unique purpose of this technology is to practice pre-operatively on the specific circumstance. A cardiologist can also check the proper status of inner and outer heart wall layer. Thus, by using this 3D information, the surgeon can now interact with heart data/information without any physical touch. This technology opens a new opportunity to improve the heart surgery and development in cardiovascular treatment to improve patient outcome.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2021-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86594435","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}
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