Abstract

Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.

Keywords

PandemicCoronavirus disease 2019 (COVID-19)Big dataComputer scienceArtificial intelligenceScopusApplications of artificial intelligenceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Health careCoronavirusData scienceDiseaseMEDLINEMedicineInfectious disease (medical specialty)Data miningPolitical science

MeSH Terms

Artificial IntelligenceBetacoronavirusCOVID-19COVID-19 VaccinesCoronavirus InfectionsDelivery of Health CareHealth PersonnelHumansPandemicsPneumoniaViralPubMedSARS-CoV-2Viral VaccinesWorkloadCOVID-19 Drug Treatment

Affiliated Institutions

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Publication Info

Year
2020
Type
review
Volume
14
Issue
4
Pages
337-339
Citations
1472
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1472
OpenAlex
26
Influential
1077
CrossRef

Cite This

Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan et al. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome Clinical Research & Reviews , 14 (4) , 337-339. https://doi.org/10.1016/j.dsx.2020.04.012

Identifiers

DOI
10.1016/j.dsx.2020.04.012
PMID
32305024
PMCID
PMC7195043

Data Quality

Data completeness: 86%