A review of modern technologies for tackling COVID-19 pandemic

Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, including medical...

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Veröffentlicht in:Diabetes & metabolic syndrome clinical research & reviews 2020-07, Vol.14 (4), p.569-573
Hauptverfasser: Kumar, Aishwarya, Gupta, Puneet Kumar, Srivastava, Ankita
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Sprache:eng
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Zusammenfassung:Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, including medical image processing, disease tracking, prediction outcomes, computational biology and medicines. A progressive search of the database related to modern technology towards COVID-19 is made. Further, a brief review is done on the extracted information by assessing the various aspects of modern technologies for tackling COVID-19 pandemic. We provide a window of thoughts on review of the technology advances used to decrease and smother the substantial impact of the outburst. Though different studies relating to modern technology towards COVID-19 have come up, yet there are still constrained applications and contributions of technology in this fight. On-going progress in the modern technology has contributed in improving people’s lives and hence there is a solid conviction that validated research plans including artificial intelligence will be of significant advantage in helping people to fight this infection. •There are many potential uses of artificial intelligence (AI) in managing medicalencountered during the COVID-19 pandemic.•The recent advances in technology can help in effective tracking and quarantine of cases.•Using smartphones and internet has also helped detect and mitigating the impact of the virus.
ISSN:1871-4021
1878-0334
1878-0334
DOI:10.1016/j.dsx.2020.05.008