TY  - JOUR
AU  - Mohammadi, Samaneh 
AU  - SeyedAlinaghi, SeyedAhmad 
AU  - Heydari, Mohammad 
AU  - Pashaei, Zahra 
AU  - Mirzapour, Pegah 
AU  - Karimi, Amirali 
AU  - Afsahi, Amir Masoud 
AU  - Mirghaderi, Peyman 
AU  - Mohammadi, Parsa 
AU  - Arjmand, Ghazal 
AU  - Soleimani, Yasna 
AU  - Azarnoush, Ayein 
AU  - Mojdeganlou, Hengameh 
AU  - Dashti, Mohsen 
AU  - Cheshmekabodi, Hadiseh Azadi 
AU  - Varshochi, Sanaz 
AU  - Mehrtak, Mohammad 
AU  - Shamsabadi, Ahmadreza 
AU  - Mehraeen, Esmaeil 
AU  - Hackett, Daniel 
PY  - 2023
TI  - Artificial Intelligence in COVID-19 Management: A Systematic Review
JF  - Journal of Computer Science
VL  - 19
IS  - 5
DO  - 10.3844/jcssp.2023.554.568
UR  - https://thescipub.com/abstract/jcssp.2023.554.568
AB  - 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.