Journal Article Review Ppublish 196 citations
PubMed: 33041533 DOI: 10.1016/j.chaos.2020.110338
Applications of artificial intelligence in battling against covid-19: A literature review.
Chaos Solitons Fractals 142:110338
Authors: Mohammad-H Tayarani N
Affiliations
- Biocomputation Group, School of Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, United Kingdom.
Abstract
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of grave concern for every country around the world. The rapid growth of the pandemic has wreaked havoc and prompted the need for immediate reactions to curb the effects. To manage the problems, many research in a variety of area of science have started studying the issue. Artificial Intelligence is among the area of science that has found great applications in tackling the problem in many aspects. Here, we perform an overview on the applications of AI in a variety of fields including diagnosis of the disease via different types of tests and symptoms, monitoring patients, identifying severity of a patient, processing covid-19 related imaging tests, epidemiology, pharmaceutical studies, etc. The aim of this paper is to perform a comprehensive survey on the applications of AI in battling against the difficulties the outbreak has caused. Thus we cover every way that AI approaches have been employed and to cover all the research until the writing of this paper. We try organize the works in a way that overall picture is comprehensible. Such a picture, although full of details, is very helpful in understand where AI sits in current pandemonium. We also tried to conclude the paper with ideas on how the problems can be tackled in a better way and provide some suggestions for future works.
MeSH
Intelligence, Sars-Cov-2, Covid-19, Research, Artificial Intelligence
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- Data-driven methods for present and future pandemics: Monitoring, modelling and managing. Annu Rev Control, 2021
- Role of Artificial Intelligence in COVID-19 Detection. Sensors (Basel), 2021
- An embedded toolset for human activity monitoring in critical environments. Expert Syst Appl, 2022
- Adopting effective hierarchal IoMTs computing with K-efficient clustering to control and forecast COVID-19 cases. Comput Electr Eng, 2022
- Role of rehabilitation amidst the COVID-19 pandemic: a review. J Transl Med, 2021
- Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review. Artif Intell Med, 2022
- Speech as a Biomarker for COVID-19 Detection Using Machine Learning. Comput Intell Neurosci, 2022
- Coronavirus disease (COVID-19) cases analysis using machine-learning applications. Appl Nanosci, 2021
- Fuzzy Clustering Methods to Identify the Epidemiological Situation and Its Changes in European Countries during COVID-19. Entropy (Basel), 2022
- Physical and pulmonary capacities of individuals with severe coronavirus disease after hospital discharge: A preliminary cross-sectional study based on cluster analysis. Clinics (Sao Paulo), 2021
- Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements. World J Clin Cases, 2023
- Densely connected convolutional networks-based COVID-19 screening model. Appl Intell (Dordr), 2021
- Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review. Inform Med Unlocked, 2021
- Overview of current state of research on the application of artificial intelligence techniques for COVID-19. PeerJ Comput Sci, 2021
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- Optimization in the Context of COVID-19 Prediction and Control: A Literature Review. IEEE Access, 2022
- Framework for Real-Time Detection and Identification of possible patients of COVID-19 at public places. Biomed Signal Process Control, 2021
- Ethics for integrating emerging technologies to contain COVID-19 in Zimbabwe. Hum Behav Emerg Technol, 2021
- Do you have COVID-19? An artificial intelligence-based screening tool for COVID-19 using acoustic parameters. J Acoust Soc Am, 2021