The prominence of artificial intelligence in covid-19

MD Nasim, A Dhali, F Afrin, NT Zaman… - arXiv preprint arXiv …, 2021 - arxiv.org
In December 2019, a novel virus called COVID-19 had caused an enormous number of
causalities to date. The battle with the novel Coronavirus is baffling and horrifying after the …

Coronavirus covid-19 detection by means of explainable deep learning

F Mercaldo, MP Belfiore, A Reginelli, L Brunese… - Scientific Reports, 2023 - nature.com
The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex
and new condition, considering that until the end of December 2019 this virus was totally …

Artificial intelligence and COVID-19: deep learning approaches for diagnosis and treatment

M Jamshidi, A Lalbakhsh, J Talla, Z Peroutka… - Ieee …, 2020 - ieeexplore.ieee.org
COVID-19 outbreak has put the whole world in an unprecedented difficult situation bringing
life around the world to a frightening halt and claiming thousands of lives. Due to COVID …

A narrative review of medical image processing by deep learning models: origin to COVID-19

V Mareeswari, R Vijayan… - International …, 2022 - search.proquest.com
A rapid diagnostic system is a primary role in the healthcare system exclusively during a
pandemic situation to control contagious diseases like coronavirus disease-2019 (COVID …

[HTML][HTML] Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives

S Huang, J Yang, S Fong, Q Zhao - International journal of …, 2021 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is being used to aid in various aspects of the COVID-19 crisis,
including epidemiology, molecular research and drug development, medical diagnosis and …

On the early detection of COVID19 using advanced machine learning techniques: a review

MAA Siddiqui, MA Ali, M Deriche - 2021 18th International Multi …, 2021 - ieeexplore.ieee.org
The outbreak of the new coronavirus (COVID19), has caused devastating effects and was
declared as a major pandemic by the World Health Organization (WHO). Apart from knowing …

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

S Bhattacharya, PKR Maddikunta, QV Pham… - Sustainable cities and …, 2021 - Elsevier
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …

Harnessing intelligent technologies to curb COVID-19 pandemic: taxonomy and open challenges

S Khan, MK Khan, R Khan - Computing, 2023 - Springer
The world has changed dramatically since the outbreak of COVID-19 pandemic. This has
not only affected the humanity, but has also badly damaged the world's socio-economic …

Deep learning in image analysis for COVID-19 diagnosis: a survey

OLV de Sousa, DMV Magalhães… - IEEE Latin America …, 2021 - ieeexplore.ieee.org
COVID-19 achieved the highest concentration of confirmed cases in the Americas with a
significant impact in Latin America and the Caribbean region, where access to water and …

A novel deep learning approach for classification of COVID-19 images

MK Nath, A Kanhe, M Mishra - 2020 IEEE 5th international …, 2020 - ieeexplore.ieee.org
Novel coronavirus 2019 (COVID-2019) initially started at Wuhan, China and spread all over
the world and announced as pandemic by World Health Organization in March 2020. It …