About: Artificial Intelligence (AI) applications for COVID-19 pandemic

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Artificial Intelligence (AI) applications for COVID-19 pandemic
Creator	Haleem, Abid Javaid, Mohd Vaishya, Raju Khan, Ibrahim
Source	PMC Elsevier
abstract	BACKGROUND AND AIMS: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
has issue date	2020-04-14(xsd:dateTime) 2020-08-31(xsd:dateTime)
bibo:doi	10.1016/j.dsx.2020.04.012
bibo:pmid	32305024
has license	els-covid no-cc
sha1sum (hex)	36e2047d1674c3095617f3eb97f9f61e48989dfe
schema:url	https://doi.org/10.1016/j.dsx.2020.04.012
resource representing a document's title	Artificial Intelligence (AI) applications for COVID-19 pandemic
has PubMed Central identifier	PMC7195043
has PubMed identifier	32305024
schema:publication	Diabetes & Metabolic Syndrome: Clinical Research & Reviews Diabetes Metab Syndr
resource representing a document's body	covid:36e2047d1674c3095617f3eb97f9f61e48989dfe#body_text
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