Artificial Intelligence in COVID-19 Management: A Systematic Review

Journal of computer sciences

article

Samaneh Mohammadi¹  SeyedAhmad SeyedAlinaghi²  Mohammad Heydari³  Zahra Pashaei²  Pegah Mirzapour²  Amirali Karimi⁵  Amir Masoud Afsahi⁶  Peyman Mirghaderi⁷  Parsa Mohammadi⁵  Ghazal Arjmand⁸  Yasna Soleimani⁹  Ayein Azarnoush^1,10  Hengameh Mojdeganlou^1,11  Mohsen Dashti^1,12  Hadiseh Azadi Cheshmekabodi^1,13  Sanaz Varshochi⁵  Mohammad Mehrtak^1,14  Ahmadreza Shamsabadi^1,15  Esmaeil Mehraeen³  Daniel Hackett^1,16 

[1] Department of Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences;Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences;Department of Health Information Technology, Khalkhal University of Medical Sciences;Department of Nursing, University of British Columbia;Department of Medicine, Tehran University of Medical Sciences;Department of Radiology, School of Medicine, University of California;Students' Scientific Research Center ,(SSRC), Tehran University of Medical Sciences;Department of Medicine, Shahid Beheshti University of Medical Sciences;Department of Medicine, Islamic Azad University;Department of Medicine, Alborz University of Medical Sciences;Department of Pathology, The Johns Hopkins University School of Medicine;Department of Radiology, Tabriz University of Medical Sciences;Department of Health Information Technology, School of Health Information Management and Information Sciences, Iran University of Medical Sciences;Department of Healthcare Services Management, School of Medicine and Allied Medical Sciences, Ardabil University of Medical Sciences;Department of Health Information Technology, Esfarayen Faculty of Medical Sciences;Department of Physical Activity, School of Health Sciences, Lifestyle, Ageing, and Wellbeing Faculty Research Group, Faculty of Medicine and Health, The University of Sydney

关键词: COVID-19;    SARS-CoV-2;    Artificial Intelligence (AI);    Deep Learning;    Machine Learning;    Predicting;   

DOI  :  10.3844/jcssp.2023.554.568

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

CC BY