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 …

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

S Sarker, L Jamal, SF Ahmed, N Irtisam - Robotics and autonomous …, 2021 - Elsevier
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st
century, probably the most significant global crisis after the second world war. The rapid …

[HTML][HTML] Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases

DM Ibrahim, NM Elshennawy, AM Sarhan - Computers in biology and …, 2021 - Elsevier
Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …

[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques

SV Kogilavani, J Prabhu, R Sandhiya… - … Methods in Medicine, 2022 - Wiley Online Library
SARS‐CoV‐2 is a novel virus, responsible for causing the COVID‐19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …

A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …

JL Gayathri, B Abraham, MS Sujarani… - Computers in biology and …, 2022 - Elsevier
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …

Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method

G Jia, HK Lam, Y Xu - Computers in biology and medicine, 2021 - Elsevier
Understanding and classifying Chest X-Ray (CXR) and computerised tomography (CT)
images are of great significance for COVID-19 diagnosis. The existing research on the …

Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm

Y Li, X Chu, D Tian, J Feng, W Mu - Applied Soft Computing, 2021 - Elsevier
The improvement of enterprise competitiveness depends on the ability to match segmented
customers in a competitive market. In this study, we propose a customer segmentation …

X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)

S Thakur, A Kumar - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Covid-19 (Coronavirus Disease-2019) is the most recent coronavirus-related
disease that has been announced as a pandemic by the World Health Organization (WHO) …

CDC_Net: Multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X …

H Malik, T Anees, M Din, A Naeem - Multimedia Tools and Applications, 2023 - Springer
Abstract Coronavirus (COVID-19) has adversely harmed the healthcare system and
economy throughout the world. COVID-19 has similar symptoms as other chest disorders …

Application of machine learning in diagnosis of COVID-19 through X-ray and CT images: a scoping review

H Mohammad-Rahimi, M Nadimi… - Frontiers in …, 2021 - frontiersin.org
Coronavirus disease, first detected in late 2019 (COVID-19), has spread fast throughout the
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …