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Review Article · Open access · Published 30 March 2023

Artificial Intelligence in COVID-19 Management: A Systematic Review

Samaneh Mohammadi1,2, SeyedAhmad SeyedAlinaghi2, Mohammad Heydari3, Zahra Pashaei2,4, Pegah Mirzapour2, Amirali Karimi5, Amir Masoud Afsahi6, Peyman Mirghaderi7, Parsa Mohammadi5, Ghazal Arjmand8, Yasna Soleimani9, Ayein Azarnoush10, Hengameh Mojdeganlou11, Mohsen Dashti12, Hadiseh Azadi Cheshmekabodi13, Sanaz Varshochi5, Mohammad Mehrtak14, Ahmadreza Shamsabadi15, Esmaeil Mehraeen3 & Daniel Hackett16

Journal of Computer Science, Volume 19, Issue 5, pp. 554–568 · doi.org/10.3844/jcssp.2023.554.568

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Abstract

With the development of modern technologies in the field of healthcare, the use of Artificial Intelligence (AI) in disease management is increasing. AI methods may assist healthcare providers in the COVID-19 era. The current study aimed to observe the efficacy and importance of AI for managing the COVID-19 pandemic. An organized search was conducted, utilizing PubMed, Web of Science, Scopus, Embase, and Cochrane up to September 2022. Studies were considered qualified for inclusion if they met the inclusion criterion. We conducted review according to the Preferred Reporting Items for Systematic reviews and Meta Analyses (PRISMA) guidelines. There were 52 documents that met the eligibility criteria to be included in the review. The most common item using AI during the COVID-19 era was predictive models to foretell pneumonia and mortality risks in people with COVID-19 based on medical and experimental parameters. COVID-19 mortality was related to being male and elderly based on the Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) logistic regression analysis of demographics, clinical data, and laboratory tests of hospitalized COVID-19 patients. AI can predict, diagnose and model COVID-19 by using techniques such as support vector machines, decision trees, and neural networks. It is suggested that future research should deal with the design and development of AI-based tools for the management of chronic diseases such as COVID-19.

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Mohammadi, S., SeyedAlinaghi, S., Heydari, M., Pashaei, Z., Mirzapour, P., Karimi, A., Afsahi, A. M., Mirghaderi, P., Mohammadi, P., Arjmand, G., Soleimani, Y., Azarnoush, A., Mojdeganlou, H., Dashti, M., Cheshmekabodi, H. A., Varshochi, S., Mehrtak, M., Shamsabadi, A., Mehraeen, E. & Hackett, D. (2023). Artificial Intelligence in COVID-19 Management: A Systematic Review. Journal of Computer Science, 19(5), 554–568. https://doi.org/10.3844/jcssp.2023.554.568

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Artificial Intelligence in COVID-19 Management: A Systematic ReviewJournal of Computer Science · Volume 19, Issue 5 · pp. 554–568 · CC BY 4.0Download