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Authors: Goldust, Yaser
Sameem, Farah
Mearaj, Samia
Gupta, Atula
Patil, Anant
Goldust, Mohamad
Title: COVID-19 and artificial intelligence : experts and dermatologists perspective
Online publication date: 25-Jan-2023
Year of first publication: 2023
Language: english
Abstract: Introduction 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.
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY-NC
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Journal: Journal of cosmetic dermatology
Pages or article number: 11
Publisher: Wiley-Blackwell
Publisher place: Oxford
Issue date: 2023
ISSN: 1473-2165
Publisher DOI: 10.1111/jocd.15310
Appears in collections:DFG-491381577-H

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