Artificial intelligence adoption in the post COVID-19 new-normal and role of smart technologies in transforming business: a review

P Agarwal, S Swami, SK Malhotra - Journal of Science and …, 2024 - emerald.com
Purpose The purpose of this paper is to give an overview of artificial intelligence (AI) and
other AI-enabled technologies and to describe how COVID-19 affects various industries …

[HTML][HTML] Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and …

IE Agbehadji, BO Awuzie, AB Ngowi… - International journal of …, 2020 - mdpi.com
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arXiv preprint arXiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

A survey on applications of artificial intelligence in fighting against COVID-19

J Chen, K Li, Z Zhang, K Li, PS Yu - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide,
leading to a global outbreak. Most governments, enterprises, and scientific research …

The role of artificial intelligence in tackling COVID-19

N Arora, AK Banerjee, ML Narasu - Future Virology, 2020 - Future Medicine
The past two decades were marked with the outbreaks of many viral diseases such as
Chikungunya, Ebola, Zika, Nipah, H7N9 Bird flu, H1N1, SARS and MERS. The world woke …

[HTML][HTML] Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and …

R Fusco, R Grassi, V Granata, SV Setola… - Journal of Personalized …, 2021 - mdpi.com
Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …

Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations

Q Rafique, A Rehman, MS Afghan, HM Ahmad… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …

[HTML][HTML] Impact of artificial intelligence on COVID-19 pandemic: a survey of image processing, tracking of disease, prediction of outcomes, and computational medicine

KH Almotairi, AMA Hussein, L Abualigah… - Big Data and Cognitive …, 2023 - mdpi.com
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of
the scientific and technological tools employed to combat the COVID-19 pandemic. This …

[HTML][HTML] Comprehensive survey of using machine learning in the COVID-19 pandemic

N El-Rashidy, S Abdelrazik, T Abuhmed, E Amer, F Ali… - Diagnostics, 2021 - mdpi.com
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …