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Artificial intelligence: the major role it played in the management of healthcare during COVID-19 pandemic

Authors: Tabrez Uz Zaman; Elaf Khalid Alharbi; Aeshah Salem Bawazeer; Ghala Abdullah Algethami; Leen Abdullah Almehmadi; Taif Muhammed Alshareef; Yasmin Awwadh Alotaibi; +1 Authors

Artificial intelligence: the major role it played in the management of healthcare during COVID-19 pandemic

Abstract

<p>The sudden arrival of COVID-19 called for new technologies to manage the healthcare system and to reduce the burden of patients in the hospitals. Artificial intelligence (AI) which involved using computers to model intelligent behavior became an important choice. Various AI applications helped a lot in the management of healthcare and delivering quick medical consultations and various services to a wide variety of patients. These new technological developments had significant roles in detecting the COVID-19 cases, monitoring them, and forecasting for the future. Artificial intelligence is applied to mimic the functional system of human intelligence. AI techniques and applications are also applied in proper examinations, prediction, analyzing, and tracking of the whereabouts of patients and the projected results. It also played a significant role in recognizing and proposing the generation of vaccines to prevent COVID-19. This study is therefore an attempt to understand the major role and use of AI in healthcare institutions by providing urgent decision-making techniques that greatly helped to manage and control the spread of the COVID-19 disease.</p>

Keywords

Information Systems and Management, Pandemic, Artificial Intelligence, Control and Systems Engineering, COVID-19, Electrical and Electronic Engineering, Healthcare management applications

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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