A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection DOI Open Access
Soomaiya Hamid, Narmeen Zakaria Bawany, Ali Hassan Sodhro

et al.

Electronics, Journal Year: 2022, Volume and Issue: 11(17), P. 2777 - 2777

Published: Sept. 3, 2022

The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities has recently gained traction in the domain. severely contagious respiratory syndrome coronavirus called COVID-19 emerged as a severe threat to public health. highly infectious virus that spread person-to-person contact. Therefore, minimizing physical interactions between patients medical workers necessary. significance technology its associated potential were fully explored proven during outbreak all domains human life. Healthcare employ modes facilitate increasing number patients. need for remote was reemphasized, many solutions adopted. Various IoMT-based proposed implemented support traditional with reaching maximum people remotely. objective this research twofold. First, systematic literature review (SLR) conducted critically evaluate 76 articles on IoMT different applications, especially other health sectors. Secondly, we briefly frameworks role technologies propose framework, named ‘cov-AID’, remotely monitors diagnoses disease. framework encompasses benefits sensors extensive data analysis prediction. Moreover, cov-AID also helps identify regions alerts not visit those locations prevent infection. promising dynamic patient monitoring, tracking, quick disease diagnosis, treatment, prevention from spreading others. We discuss challenges faced adopting applying big combat COVID-19.

Language: Английский

Beyond the Pandemic: COVID-19 Pandemic Changed the Face of Life DOI Open Access

Shaden A. M. Khalifa,

Mahmoud M. Swilam,

Aida A. Abd El‐Wahed

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2021, Volume and Issue: 18(11), P. 5645 - 5645

Published: May 25, 2021

The COVID-19 pandemic is a serious challenge for societies around the globe as entire populations have fallen victim to infectious spread and taken up social distancing. In many countries, people had self-isolate be confined their homes several weeks months prevent of virus. Social distancing measures both negative positive impacts on various aspects economies, lifestyles, education, transportation, food supply, health, life, mental wellbeing. On other hands, due reduced population movements decline in human activities, gas emissions decreased ozone layer improved; this impact Earth’s weather environment. Overall, has effects activities nature. This study discusses different life including economy,

Language: Английский

Citations

69
The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic DOI Open Access
Julia Siderska

Sustainability, Journal Year: 2021, Volume and Issue: 13(14), P. 8020 - 8020

Published: July 18, 2021

The study provides knowledge on the adoption of Robotic Process Automation (RPA) technology during COVID-19 pandemic in 110 Polish service companies. As this research was first its kind Poland, objectives CAWI survey were to identify features RPA and related determinants barriers influencing as well determine correlations between them. Moreover, statistical analyses involved considering whether there differences evaluation individual features, mainly terms perceived usefulness, ease use, security functionality. results show that almost 60% respondents indicated robotization tools allowed maintaining continuity business processes pandemic. highest rated usefulness technology. Furthermore, analysis pointed most frequently implementation nonoptimized, nonstandardized non-digitized with a large number exceptions. contributes scientific has practical implications for process automation decision-makers concerned obtained can help them understand potential drivers software robots by enterprises may be an important determinant companies’ managers field implementing such solutions.

Language: Английский

Citations

68
Bias in algorithms of AI systems developed for COVID-19: A scoping review DOI Creative Commons
Janet Delgado, Alicia de Manuel, Iris Parra Jounou

et al.

Journal of Bioethical Inquiry, Journal Year: 2022, Volume and Issue: 19(3), P. 407 - 419

Published: July 20, 2022

Abstract To analyze which ethically relevant biases have been identified by academic literature in artificial intelligence (AI) algorithms developed either for patient risk prediction and triage, or contact tracing to deal with the COVID-19 pandemic. Additionally, specifically investigate whether role of social determinants health (SDOH) considered these AI developments not. We conducted a scoping review literature, covered publications from March 2020 April 2021. ​Studies mentioning on medical triage regarding were included. From 1054 articles, 20 studies finally propose typology based bias, limitations other ethical issues both areas analysis. Results disparities SDOH classified into five categories: racial disparities, biased data, socio-economic unequal accessibility workforce, information communication. needs be clinical context, where they still seem underestimated. Epidemiological conditions depend geographic location, so use local data develop international solutions may increase some biases. Gender bias was not addressed articles The main are related collection management. Ethical problems privacy, consent, lack regulation while bias-related inequalities highlighted. There is need further research focusing specific apps.

Language: Английский

Citations

44
Blockchain-Based Internet of Medical Things DOI Creative Commons
Hamed Taherdoost

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(3), P. 1287 - 1287

Published: Jan. 18, 2023

IoMT sensor nodes, Internet of Things (IoT) wearable medical equipment, healthcare facilities, patients, and insurance firms are all increasingly being included in systems. Therefore, it is difficult to create a blockchain design for such systems, since scalability among the most important aspects technology. This realization prompted us comprehensively analyze blockchain-based solutions developed English between 2017 2022. review incorporates theoretical underpinnings large body work published highly regarded academic journals over past decade, standardize evaluation methods fully capture rapidly developing space. study categorizes blockchain-enabled applications across various industries as information management, privacy, healthcare, business, supply chains according structured, systematic evaluation, thematic content analysis literature that already identified. The gaps on topic have also been highlighted, with special focus restrictions posed by technology knock-on effects other fields. Based these results, several open research questions potential avenues further investigation likely be useful academics professionals alike pinpointed.

Language: Английский

Citations

30
Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine DOI Creative Commons
Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah

et al.

Big Data and Cognitive Computing, Journal Year: 2023, Volume and Issue: 7(1), P. 11 - 11

Published: Jan. 11, 2023

Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of scientific and technological tools employed to combat COVID-19 pandemic. This study assesses different uses deployments modern technology for combating pandemic various levels, such as image processing, tracking disease, prediction outcomes, computational medicine. The results prove that computerized tomography (CT) scans help diagnose patients infected by COVID-19. includes two-sided, multilobar ground glass opacification (GGO) a posterior distribution or peripheral, primarily in lower lobes, fewer recurrences intermediate lobe. An extensive search databases relating was undertaken. Subsequently, review extracted information from database looked how can be tackle We discussed advancements deployed alleviate communicability effect Even though there are many types research on use COVID-19, application still not yet fully explored. In addition, we suggested some open issues challenges deploying AI global

Language: Английский

Citations

26
Innovative applications of artificial intelligence during the COVID-19 pandemic DOI Creative Commons

Chenrui Lv,

Wenqiang Guo,

Xinyi Yin

et al.

Infectious Medicine, Journal Year: 2024, Volume and Issue: 3(1), P. 100095 - 100095

Published: Feb. 21, 2024

The COVID-19 pandemic has created unprecedented challenges worldwide. Artificial intelligence (AI) technologies hold tremendous potential for tackling key aspects of management and response. In the present review, we discuss possibilities AI technology in addressing global posed by pandemic. First, outline multiple impacts current on public health, economy, society. Next, focus innovative applications advanced areas such as prediction, detection, control, drug discovery treatment. Specifically, AI-based predictive analytics models can use clinical, epidemiological, omics data to forecast disease spread patient outcomes. Additionally, deep neural networks enable rapid diagnosis through medical imaging. Intelligent systems support risk assessment, decision-making, social sensing, thereby improving epidemic control health policies. Furthermore, high-throughput virtual screening enables accelerate identification therapeutic candidates opportunities repurposing. Finally, future research directions combating COVID-19, emphasizing importance interdisciplinary collaboration. Though promising, barriers related model generalization, quality, infrastructure readiness, ethical risks must be addressed fully translate these innovations into real-world impacts. Multidisciplinary collaboration engaging diverse expertise stakeholders is imperative developing robust, responsible, human-centered solutions against emergencies.

Language: Английский

Citations

14
Towards emotive sensory Web in virtual health care: Trends, technologies, challenges and ethical issues DOI Creative Commons
Elliot Mbunge,

Sipho'esihle Jiyane,

Benhildah Muchemwa

et al.

Sensors International, Journal Year: 2021, Volume and Issue: 3, P. 100134 - 100134

Published: Nov. 6, 2021

With fast-paced technological advancements coupled with increasing demands for virtual health care especially during the pandemic, systems globally are on cusp of transforming healthcare through emerging technologies. Such paradigm shift in digital requires effective integration information, computing, communication, and connectivity technologies sharing data web. The current deployed service delivery lack emotional competencies despite growing capturing monitoring patients' affections, feelings emotions. importance emotive Sensory web has been gaining relevance society to remotely monitor pandemic like COVID-19 minimize infections. In this respect, paper discusses significant benefits, trends, technologies, perceived challenges, ethical issues sensory Web care. study revealed that such as artificial intelligence, Internet Things, Medical 5G technology, Industry 5.0, big data, cloud computing paramount development implementation However, standardization synchronization communication protocols, well devices interoperability issues, threatens these While need continues increase, there social, technological, infrastructural, economic barriers, security hinder its implementation. Therefore, is a developing infrastructure supports appropriate technologies; crafting regional international legal regulatory policy WHO; devices.

Language: Английский

Citations

51
Emerging technologies and COVID-19 digital vaccination certificates and passports DOI Creative Commons
Elliot Mbunge, Tafadzwa Dzinamarira, Stephen Gbenga Fashoto

et al.

Public Health in Practice, Journal Year: 2021, Volume and Issue: 2, P. 100136 - 100136

Published: May 7, 2021

Language: Английский

Citations

49
Current state of diagnostic, screening and surveillance testing methods for COVID-19 from an analytical chemistry point of view DOI Open Access
Julia Martı́n, Noelia Tena, Agustín G. Asuero

et al.

Microchemical Journal, Journal Year: 2021, Volume and Issue: 167, P. 106305 - 106305

Published: April 19, 2021

Language: Английский

Citations

48
Cybersecurity Challenges in Blockchain Technology: A Scoping Review DOI Creative Commons
Samreen Mahmood, Mehmood Chadhar, Sally Firmin

et al.

Human Behavior and Emerging Technologies, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 11

Published: April 5, 2022

Blockchain technology (BCT) is an emerging technology. Cybersecurity challenges in BCT are being explored to add greater value business processes and reshape operations. This scoping review paper was aimed at exploring the current literature’s scope categorizing various types of cybersecurity BCT. Databases such as Elsevier, ResearchGate, IEEE, ScienceDirect, ABI/INFORM Collection (ProQuest) were searched using a combination terms, after rigorous screening, 51 research studies found relevant. Data coding performed following framework proposed for review. After careful analysis, thirty different categorized into six standardized classes. Our results show that most disclose generally without pointing any specific industry sector, very little extent, few papers reveal related sectors. Also, prior barely investigated strategies minimize Based on gap identification, future avenues scholars.

Language: Английский

Citations

38