A review of modern technologies for tackling COVID-19 pandemic
- PMID: 32413821
- PMCID: PMC7204706
- DOI: 10.1016/j.dsx.2020.05.008
A review of modern technologies for tackling COVID-19 pandemic
Abstract
Objective: 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.
Methods: 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.
Results: 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.
Conclusions: 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.
Keywords: Artificial intelligence; COVID-19; Epidemic; Machine learning.
Copyright © 2020 Diabetes India. Published by Elsevier Ltd. All rights reserved.
Conflict of interest statement
Declaration of competing interest Nil.
References
-
- Ruiz Estrada M.A. The uses of drones in case of massive Epidemics contagious diseases relief humanitarian aid: Wuhan-COVID-19 crisis. SSRN Electron J. 2020 doi: 10.2139/ssrn.3546547. (February) - DOI
-
- Nguyen T.T., Waurn G., Campus P. 2020. Artificial intelligence in the battle against coronavirus ( COVID-19 ): A survey and future research directions. - DOI
-
- Maghdid H.S., Ghafoor K.Z., Sadiq A.S., Curran K., Rabie K. 2020. A novel AI-enabled framework to diagnose coronavirus COVID 19 using smartphone embedded sensors: design study; pp. 1–5.http://arxiv.org/abs/2003.07434
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
