Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8581
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dc.contributor.authorGoldust, Yaser-
dc.contributor.authorSameem, Farah-
dc.contributor.authorMearaj, Samia-
dc.contributor.authorGupta, Atula-
dc.contributor.authorPatil, Anant-
dc.contributor.authorGoldust, Mohamad-
dc.date.accessioned2023-01-25T09:14:50Z-
dc.date.available2023-01-25T09:14:50Z-
dc.date.issued2023-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/8597-
dc.description.abstractIntroduction Artificial intelligence (AI) has an important role to play in future healthcare offerings. Machine learning and artificial neural networks are subsets of AI that refer to the incorporation of human intelligence into computers to think and behave like humans. Objective The objective of this review article is to discuss perspectives on the AI in relation to Coronavirus disease (COVID-19). Methods Google Scholar and PubMed databases were searched to retrieve articles related to COVID-19 and AI. The current evidence is analysed and perspectives on the usefulness of AI in COVID-19 is discussed. Results The coronavirus pandemic has rendered the entire world immobile, crashing economies, industries, and health care. Telemedicine or tele-dermatology for dermatologists has become one of the most common solutions to tackle this crisis while adhering to social distancing for consultations. While it has not yet achieved its full potential, AI is being used to combat coronavirus disease on multiple fronts. AI has made its impact in predicting disease onset by issuing early warnings and alerts, monitoring, forecasting the spread of disease and supporting therapy. In addition, AI has helped us to build a model of a virtual protein structure and has played a role in teaching as well as social control. Conclusion Full potential of AI is yet to be realized. Expert data collection, analysis, and implementation are needed to improve this advancement.en_GB
dc.description.sponsorshipGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577de
dc.language.isoengde
dc.rightsCC BY-NC*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titleCOVID-19 and artificial intelligence : experts and dermatologists perspectiveen_GB
dc.typeZeitschriftenaufsatzde
dc.identifier.doihttp://doi.org/10.25358/openscience-8581-
jgu.type.dinitypearticleen_GB
jgu.type.versionPublished versionde
jgu.type.resourceTextde
jgu.organisation.departmentFB 04 Medizinde
jgu.organisation.number2700-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleJournal of cosmetic dermatologyde
jgu.journal.volume22de
jgu.journal.issue1de
jgu.pages.start11de
jgu.pages.end15de
jgu.publisher.year2023-
jgu.publisher.nameWiley-Blackwellde
jgu.publisher.placeOxfordde
jgu.publisher.issn1473-2165de
jgu.organisation.placeMainz-
jgu.subject.ddccode610de
jgu.publisher.doi10.1111/jocd.15310de
jgu.organisation.rorhttps://ror.org/023b0x485-
jgu.subject.dfgLebenswissenschaftende
Appears in collections:DFG-491381577-H

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