Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

Deep learning for medical anomaly detection–a survey

T Fernando, H Gammulle, S Denman… - ACM Computing …, 2021 - dl.acm.org
Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …

Medical image analysis based on deep learning approach

M Puttagunta, S Ravi - Multimedia tools and applications, 2021 - Springer
Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …

Automated detection and forecasting of covid-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

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 …

Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review

YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …

Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions

T Alafif, AM Tehame, S Bajaba, A Barnawi… - International journal of …, 2021 - mdpi.com
With many successful stories, machine learning (ML) and deep learning (DL) have been
widely used in our everyday lives in a number of ways. They have also been instrumental in …

Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm

D Dansana, R Kumar, A Bhattacharjee, DJ Hemanth… - Soft computing, 2023 - Springer
The novel coronavirus infection (COVID-19) that was first identified in China in December
2019 has spread across the globe rapidly infecting over ten million people. The World …

Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images

N Gianchandani, A Jaiswal, D Singh, V Kumar… - Journal of ambient …, 2023 - Springer
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes novel
coronavirus disease (COVID-19) outbreak in more than 200 countries around the world. The …