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

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 …

Role of artificial intelligence in COVID-19 detection

A Gudigar, U Raghavendra, S Nayak, CP Ooi… - Sensors, 2021 - mdpi.com
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

H Nasiri, S Hasani - Radiography, 2022 - Elsevier
Introduction In late 2019 and after the COVID-19 pandemic in the world, many researchers
and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study …

Classification of lungs infected COVID-19 images based on inception-ResNet

Y Chen, Y Lin, X Xu, J Ding, C Li, Y Zeng, W Liu… - Computer methods and …, 2022 - Elsevier
Objective Nowadays, COVID-19 is spreading rapidly worldwide, and seriously threatening
lives. From the perspective of security and economy, the effective control of COVID-19 has a …

Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments

A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …

Novel comparative study for the detection of COVID-19 using CT scan and chest X-ray images

A Hayat, P Baglat, F Mendonça, SS Mostafa… - International Journal of …, 2023 - mdpi.com
The number of coronavirus disease (COVID-19) cases is constantly rising as the pandemic
continues, with new variants constantly emerging. Therefore, to prevent the virus from …

CODENET: A deep learning model for COVID-19 detection

H Ju, Y Cui, Q Su, L Juan, B Manavalan - Computers in Biology and …, 2024 - Elsevier
Conventional COVID-19 testing methods have some flaws: they are expensive and time-
consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some …

The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review

JC Okeibunor, A Jaca, CJ Iwu-Jaja… - Frontiers in Public …, 2023 - frontiersin.org
Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …

COVID-19 pneumonia and lung cancer: a challenge for the radiologist review of the main radiological features, differential diagnosis and overlapping pathologies

A Guarnera, E Santini, P Podda - Tomography, 2022 - mdpi.com
The COVID-19 pneumonia pandemic represents the most severe health emergency of the
21st century and has been monopolizing health systems' economic and human resources …

A hybrid deep learning approach for COVID-19 diagnosis via CT and X-ray medical images

C Chola, P Mallikarjuna, AY Muaad… - Computer Sciences & …, 2021 - mdpi.com
The COVID-19 pandemic has been a global health problem since December 2019. To date,
the total number of confirmed cases, recoveries, and deaths has exponentially increased on …