Exploiting artificial intelligence for combating COVID-19: a review and appraisal

Richa Sharma, Himanshu Pandey, Ambuj Kumar Agarwal

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Machine learning algorithms immediately became critical in the battle against the COVID-19 outbreak. Diagnoses, medicine research, an illness spread predictions, and population surveillance all required the use of artificial intelligence (AI) methods as the epidemic grew in scope. To combat COVID-19, screening procedures that are both effective and rapid are required. At COVID-19, AI developers took a chance to show how AI can benefit all mankind. It was only after the employment of AI in the battle against COVID-19. AI's various and diverse applications in the epidemic are documented in this study. It is the purpose of this study to help shape the future development and usage of these technologies, whether in the present or future health crises.

Original languageEnglish
Pages (from-to)514-520
Number of pages7
JournalBulletin of Electrical Engineering and Informatics
Volume12
Issue number1
DOIs
StatePublished - 1 Feb 2023
Externally publishedYes

Keywords

  • AI applications
  • Artificial intelligence
  • COVID-19
  • Deep learning
  • Machine learning
  • Pandemic

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Exploiting artificial intelligence for combating COVID-19: a review and appraisal'. Together they form a unique fingerprint.

Cite this