COVID-19 pandemic and potential of artificial intelligence

Aman Bhonsale; Ashok Kumar Ahirwar; Kirti Kaim; Puja Kumari Jha

doi:10.1515/hmbci-2021-0041

Article

COVID-19 pandemic and potential of artificial intelligence

Aman Bhonsale , Ashok Kumar Ahirwar , Kirti Kaim and Puja Kumari Jha

Published/Copyright: December 7, 2021

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From the journal Hormone Molecular Biology and Clinical Investigation Volume 43 Issue 1

Abstract

Objective

To evaluate the potential of artificial intelligence in combating COVID-19 pandemic.

Methods

PubMed, Embase, Cochrane Library and Google Scholar were searched for the term “Artificial intelligence and COVID-19” up to March 31, 2021.

Results

Artificial intelligence (AI) is a potential tool to contain the current pandemic. AI can be used in many fields such as early detection and respective diagnosis, supervision of treatment, projection of cases and mortality, contact tracing of individuals, development of drugs and vaccines, reduces workload on health workers, prevention of disease, analysis of mental health of people amid pandemic.

Conclusions

AI is being updated and being improved, second by second to be able to interpret like actual human minds. This advancement in AI may lead to a completely different future of COVID-19 pandemic where most of the simpler works may be done by AI and only essential works could be done by health workers in order to increase patient care in current scenario of COVID-19 outbreak. But again one of the main constraint is of limited trustworthy and noise free sources of information. So the need for the hour is to make a free data system where most of the analysed data could be available to feed AI, which could effectively halt the current pandemic.

Keywords: artificial intelligence; COVID-19; surveillance

Corresponding author: Dr. Ashok Kumar Ahirwar, MD, Assistant Professor, Department of Biochemistry, University College of Medical Sciences, New Delhi, 110095, India, Phone: +919654210832, E-mail: drashoklhmc@gmail.com

Acknowledgments

Authors are grateful to Dr. Pradeep Ahirwar, Department of Radio-diagnosis, Index Medical College, Indore, MP.

Research funding: None declared.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: Authors state no conflict of interest.
Informed consent: Not Applicable.
Ethical approval: Not Applicable.

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Received: 2021-05-13

Accepted: 2021-11-08

Published Online: 2021-12-07

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https://doi.org/10.1515/hmbci-2021-0041

Keywords for this article

artificial intelligence; COVID-19; surveillance