Artificial Intelligence (AI) applications for COVID-19 pandemic

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dc.creatorVaishya, Raju
dc.creatorJavaid, Mohd
dc.creatorKhan, Ibrahim Haleem
dc.creatorHaleem, Abid
dc.date.accessioned2020-07-27T21:47:14Z
dc.date.available2020-07-27T21:47:14Z
dc.date.created2020-08
dc.description.abstractenglishBackground 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.spa
dc.format.extent3 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.1016/j.dsx.2020.04.012spa
dc.identifier.issn1871-4021spa
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S1871402120300771?via%3Dihub#kwrds0010spa
dc.identifier.urihttps://hdl.handle.net/20.500.12010/11244
dc.publisherDiabetes & Metabolic Syndrome: Clinical Research & Reviewseng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectInteligencia artificialspa
dc.subject.keywordArtificial Intelligence (AI)spa
dc.subject.keywordAI Applicationsspa
dc.subject.keywordCOVID-19spa
dc.subject.keywordPandemicspa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.titleArtificial Intelligence (AI) applications for COVID-19 pandemicspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.localArtículospa

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