Identifying and combating the Covid-19 pandemic using Artificial Intelligence

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Aryan Baghaei, Naghmeh Alipour, Pedram Abbaszadeh, Arash Bakhshi, Amir Fallah, Mohsen Zeraatpishe, Houman Hashemian

Abstract

Introduction: In late 2019, a large number of people across the globe became infected after an outbreak, a pandemic, and an epidemic following COVID-19 spread. To this end, researchers in various fields seek crisis management and solutions to control issues. The new coronavirus's transmission potential has drawn experts' attention to using artificial intelligence to identify and combat this epidemic. The term artificial intelligence (AI) refers to a software that is capable of decision-making in addition to data analysis.


Method: For this review, we searched artificial intelligence, epidemic, and COVID-19 keywords in PubMed, SID, Scopus, ScienceDirect internet databases, and Google Scholar search engine. After applying inclusion and exclusion criteria to 37 articles, 11 were selected for review.


Result: The studies mentioned the description of artificial intelligence and its application in medicine, coronavirus and its symptoms and mode of transmission, the benefits of using artificial intelligence in the corona pandemic crisis, aid in the rapid diagnosis, treatment monitoring, epidemiology, and tracking infected areas, drug system management, reduction the workload of medical staff, methods for a definitive diagnosis of COVID 19 based on artificial intelligence and laboratory programs with an emphasis on artificial intelligence. Artificial intelligence can assist in rapid diagnosis, monitoring of COVID-19 patients, developing treatment, facilitating research, prevention, and designing drugs and vaccines. Artificial intelligence-based software uses designed intelligent networks to mimic human thought processes.


Conclusion: Artificial intelligence can recognize patterns beyond defined rules, allowing it to analyze large quantities of information that humans cannot manage. AI-based software provides the possibility of identifying suspected Covid-19 cases with the least amount of contact between medical personnel and patients. Moreover, it monitors the progress of the treatment.

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