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Artificial Intelligence Functionalities During the COVID-19 Pandemic

Published online by Cambridge University Press:  27 February 2023

Milad Ahmadi Marzaleh ,
Mahmoudreza Peyravi ,
Shahrokh Mousavi ,
Fatemeh Sarpourian ,
Milad Seyedi  and
Naseh Shalyari
Milad Ahmadi Marzaleh
Affiliation:
Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
Mahmoudreza Peyravi
Affiliation:
Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
Shahrokh Mousavi
Affiliation:
Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
Fatemeh Sarpourian
Affiliation:
Student Research Committee, Department of Health Information Technology, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
Milad Seyedi
Affiliation:
Department of Computer Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
Naseh Shalyari*
Affiliation:
Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
*
Corresponding author: Naseh Shalyari, Email: naseh.shalyari@gmail.com.
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Abstract

Background:

The coronavirus disease 2019 (COVID-19) pandemic has led us to use virtual solutions and emerging technologies such as artificial intelligence (AI). Recent studies have clearly demonstrated the role of AI in health care and medical practice; however, a comprehensive review can identify potential yet not fulfilled functionalities of such technologies in pandemics. Therefore, this scoping review study aims at assessing AI functionalities in the COVID-19 pandemic in 2022.

Methods:

A systematic search was carried out in PubMed, Cochran Library, Scopus, Science Direct, ProQuest, and Web of Science from 2019 to May 9, 2022. Researchers selected the articles according to the search keywords. Finally, the articles mentioning the functionalities of AI in the COVID-19 pandemic were evaluated. Two investigators performed this process.

Results:

Initial search resulted in 9123 articles. After reviewing the title, abstract, and full text of these articles, and applying the inclusion and exclusion criteria, 4 articles were selectd for the final analysis. All 4 were cross-sectional studies. Two studies (50%) were performed in the United States, 1 (25%) in Israel, and 1 (25%) in Saudi Arabia. They covered the functionalities of AI in the prediction, detection, and diagnosis of COVID-19.

Conclusions:

To the extent of the researchers’ knowledge, this study is the first scoping review that assesses the AI functionalities in the COVID-19 pandemic. Health-care organizations need decision support technologies and evidence-based apparatuses that can perceive, think, and reason not dissimilar to human beings. Potential functionalities of such technologies can be used to predict mortality, detect, screen, and trace current and former patients, analyze health data, prioritize high-risk patients, and better allocate hospital resources in pandemics, and generally in health-care settings.

Keywords

artificial intelligencemachine learningdeep learningneural networksCOVID-19
Type
Systematic Review
Information
Disaster Medicine and Public Health Preparedness , Volume 17 , 2023 , e336
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

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