Artificial intelligence: the major role it played in the management of healthcare during COVID-19 pandemic (original) (raw)
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Conservative Dentistry Journal: Collection of Journal Articles Dentistry Faculty, Airlangga University, 2022
Background: Indonesia is currently experiencing Coronavirus Disease-19 (COVID-19) pandemic which affects all sectors of life, therefore Indonesia is starting to prepare for New Normal era, including in health care sector. COVID-19 was previously known as novel Coronavirus Disease-19 (nCoV-19), where World Health Organization (WHO) declared it as a global pandemic in March 2020. New Normal era is an era of coexistence with COVID-19, resulting in new habits that were rarely or never practiced before. One practice that can be applied in health care sector is to use Artificial Intelligence (AI) to treat COVID-19 patients to prevent casualties for health workers. Health care providers are prone to contract aerosol and droplet transmission while treating patients, resulting in cytokine storm, acute respiratory distress syndrome (ARDS), and acute lung injury (ALI), which leads to death. Purpose: This mini review study used to explain the using of artificial intelligence in the new normal era against pandemic COVID-19 in the field of health services. Reviews: This pandemic COVID-19 restricts all of the communication between person to person. It also challenged the health service sector because the health service sector is the first line to combat the COVID-19. It is now popular to use artificial intelligence. This using can be used to help the health service sector in combating the COVID-19 pandemic especially in this new normal era. Conclusion: COVID-19 pandemic affects all aspects of life, especially health care sector, therefore AI use is important to prevent the deaths of health workers because of this pandemic.
IRJET- "Role of Artificial Intelligence in Medicine during Covid-19 virus Pandemic"
IRJET, 2021
Coronavirus 19 virus led the WHO to declare it as a pandemic in view of its rapid spread across all the countries as well as its clinical severity seen in year 2020. The faster spread of virus has paved the path of new research, faster ways of diagnosis and new inventions on management of this pandemic, in more efficient way. Recent innovation by artificial intelligence (AI) and machine learning have complemented traditional epidemiological tools significantly. AI based forecasting and predictions could help public health officials and other health care workers to be prepared to deal with Covid-19 cases. Observing the capability of AI to deal with the challenges given by Covid-19 virus pandemic, it seems to be the new future of health care system. I, hereby present a review of applications of AI in the medicine in context with Covid-19 pandemic.
Artificial Intelligence in Healthcare during Covid-19 Pandemic
International Journal of Computer Applications , 2022
The use of data engineering and analytics is at the forefront of efforts to combat the current Covid-19 pandemic. Cloudbased data analytics platforms are being inducted to handle the Covid-19 data in order to deal with the SARS-CoV-2 virus pandemic that is currently underway. The entire world has been experiencing serious difficulties in dealing with the situation because of the lack of clarity surrounding the virus's origin and clinical characteristics. Despite the fact that the world is doing everything it can to obtain certain facts about the disease, much information about the SARS-CoV-2 virus is still unknown and uncertain. The scientific community around the world has used a variety of analytical and statistical approaches to uncover the unknown and uncertain properties of the SARS-CoV-2 virus, which is currently under investigation. This paper reviews the most appropriate artificial intelligence (AI) based healthcare applications that are currently being used, as well as their significance in dealing with the Covid-19 pandemic.
THE ROLE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE: APPLICATIONS AND CHALLENGES AFTER COVID-19
IJTRS Apr, 2023
The COVID-19 outbreak served as a stark reminder that the global community is not fully prepared for pandemics. In order to effectively deal with potential future health risks, such as diseases that might be more lethal and widespread than COVID-19, strong and adaptable health systems will need to be built. The provision of relief by the government in the form of aid for healthcare and contingency planning becomes a source of delight in light of the insights gained from the present predicament. The advancement of general healthcare as well as the identification and control of epidemics might benefit significantly from the use of AI. The use of artificial intelligence (AI) in healthcare has expanded more rapidly in recent years as a direct result of the pandemic; yet, there are still a great number of challenging issues that need to be handled before the approaches can be used in real-world contexts. It is imperative that the World Health Organization's Department of Health Research and Technology, which is in charge of digitizing COVID-19, be established in order to provide assistance to nations whose levels of digital development differ greatly. The World Health Organization (WHO) is dedicated to assisting nations in the use of these cutting-edge technologies in order to improve the ability of health systems to respond to outbreaks and prevent future ones.
The prospective of Artificial Intelligence in COVID-19 Pandemic
Health and Technology
Coronavirus disease 2019 (COVID-19) is a major threat throughout the world. The latest advancements in the field of computational techniques based on Artificial Intelligence (AI), Machine Learning (ML) and Big Data can help in detecting, monitoring and forecasting the severity of the COVID-19 pandemic. We aim to review the detection of the COVID-19 pandemic empowered by AI, major implications, challenges and the future of smart health care at a glance. The AI plays a pioneering role in rapid and improved detection of the disease. It helps in modeling the disease activity and predicting the severity for better decision making and preparedness by healthcare authorities and policymakers. It is a promising technology for automatic and fully transparent monitoring system to track and treat the patients remotely without spreading the virus to others. The future application areas of AI-based healthcare are also identified. The role of AI in tackling the COVID-19 pandemic is reviewed in this paper. AI proves beneficial in early detection with improved results. It also provides solution for contact tracing, prediction, drug development thus reducing the workload of medical industry.
Artificial Intelligence (AI) applications for COVID-19 pandemic
Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2020
Background and aims: Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods: The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results: We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions: Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.
2020
The current pandemic of COVID-19-Coronavirus Disease-19, caused by the pathogen SARS-CoV-2, has already killed thousands of people in the year of 2020. We did a review of literature to understand the potential use of AI to respond to COVID-19. The search strategy used five descriptors: (i) "Artificial Intelligence", (ii) "Deep Learning", (iii) "Machine Learning", (iv) "COVID-19" and (v) "SARS-CoV-2", which have been combined to search for articles in the PubMed and ResearchGate databases. The bibliographic search has been complemented with texts of previous knowledge of the authors. The subjects covered in the chosen bibliography have been organized into two main study categories: (i) AI for diagnosis; and (ii) AI for controlling dissemination. The final considerations point out the main complications for the proper use of AI and the possibilities of its application to support decision making of health professionals and at managerial levels of public health.
Mobile and Forensics
Today, the medical society is living in the era of artificial intelligence, which is developed and becomes more famous thanks to the coronavirus disease of 2019 (COVID-19) pandemic, which has given the space for artificial intelligence to appear more influential in analyzing medical data and providing very accurate results. This science has deservedly been able to achieve an excellent and vital position among healthcare workers, and it has become a necessary element of their work because of its a great potential for practical decision-making. The prospects of using intelligent systems in the medical field are deemed essential in the health division due to their ability to analyze big data and give exact results, aiming to improve the health of citizens and save their lives. In this article, a set of important information about the vital role of artificial intelligence in the medical field is highlighted. In addition, how this science does manage to confront SARS‐CoV‐2 by highlightin...
Environmental Science and Pollution Research
The world has never been prepared for global pandemics like the COVID-19, currently posing an immense threat to the public and consistent pressure on the global healthcare systems to navigate optimized tools, equipments, medicines, and techno-driven approaches to retard the infection spread. The synergized outcome of artificial intelligence paradigms and human-driven control measures elicit a significant impact on screening, analysis, prediction, and tracking the currently infected individuals, and likely the future patients, with precision and accuracy, generating regular international and national data on confirmed, recovered, and death cases, as the current status of 3,820,869 infected patients worldwide. Artificial intelligence is a frontline concept, with timesaving, cost-effective, and productive access to disease management, rendering positive results in physician assistance in high workload conditions, radiology imaging, computational tomography, and database formulations, to facilitate availability of information accessible to researchers all over the globe. The review tends to elaborate the role of industry 4.0 technology, fast diagnostic procedures, and convolutional neural networks, as artificial intelligence aspects, in potentiating the COVID-19 management criteria and differentiating infection in SARS-CoV-2 positive and negative groups. Therefore, the review successfully supplements the processes of vaccine development, disease management, diagnosis, patient records, transmission inhibition, social distancing, and future pandemic predictions, with artificial intelligence revolution and smart techno processes to ensure that the human race wins this battle with COVID-19 and many more combats in the future.
Sch J App Med Sci, 2022
The world is facing several challenges due to the COVID-19 pandemic, which is causing severe social and economic disruption. The disruption has resulted in recession, unemployment, and social isolation and has caused an extreme burden on health care services. Artificial intelligence (AI) has a promising role in the healthcare sector by bringing many advantages to practicing clinicians, patients, and society. This article aims to determine the role of artificial intelligence in the ongoing COVID-19 pandemic. A quantitative methodology is used, and a literature review is done by using electronic databases such as PubMed, Google Scholar, and Scopus. The keywords used for this data research are "artificial intelligence" and "COVID 19"; "COVID 19" and "artificial intelligence". The results have shown that artificial intelligence has been extensively used in seven major domains during the current ongoing COVID-19 pandemic. These include screening and detection of COVID-19 transmission dynamics, diagnostics, disease monitoring and forecasting, disease outbreak containment, disease recovery and mortality, treatment and vaccination, and protection of healthcare workers. Artificial intelligence is a transformational force in the medical field. It assists in early detection of disease, real-time surveillance, diagnosis, treatment, disease containment, development of treatment and vaccinations, and reducing morbidity and mortality. Artificial intelligence will help us in the future to meet many challenges in a timely fashion through the prediction of pandemics, making stakeholders worldwide well prepared to deal with epidemics and pandemics in a systematic and organized manner, avoiding economic turmoil and unnecessary morbidity and mortality.