The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now.
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …

The coronavirus is considered this century's most disruptive catastrophe and global concern.
This disease has prompted extreme social, psychological and economic impacts affecting …

Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …

Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …

Due to the COVID‐19 pandemic, computerized COVID‐19 diagnosis studies are
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …

Objective To develop a two-step machine learning (ML) based model to diagnose and
predict involvement of lungs in COVID-19 and non COVID-19 pneumonia patients using CT …

Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …

Objective To implement and evaluate machine learning (ML) algorithms for the prediction of
COVID-19 diagnosis, severity, and fatality and to assess biomarkers potentially associated …

Evaluating patient criticality is the foremost step in administering appropriate COVID-19
treatment protocols. Learning an Artificial Intelligence (AI) model from clinical data for …

Background As blood testing is radiation-free, low-cost and simple to operate, some
researchers use machine learning to detect COVID-19 from blood test data. However, few …