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 …

Purpose. Due to the excessive use of raw materials in diagnostic tools and equipment
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …

With the current COVID19 pandemic, we have to weigh human life, prosperity, and value,
while implicitly acknowledging that controlling case spread and mortality is a challenge …

Our systematic review investigated the additional effect of artificial intelligence-based
devices on human observers when diagnosing and/or detecting thoracic pathologies using …

Successful early detection of Covid-19 disease plays an important role in improving the
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …

This paper proposes a Convolutional Neural Networks (CNN) based model for the diagnosis
of COVID‐19 and non‐COVID‐19 viral pneumonia diseases. These diseases affect and …

Artificial intelligence is gaining increasing relevance in the field of radiology. This study
retrospectively evaluates how a commercially available deep learning algorithm can detect …

Purpose A growing number of studies have examined whether Artificial Intelligence (AI)
systems can support imaging-based diagnosis of COVID-19-caused pneumonia, including …

Abstract The AI-Rad Companion Chest X-ray (AI-Rad, Siemens Healthineers) is an artificial-
intelligence based application for the analysis of chest X-rays. The purpose of the present …

Abstract Coronavirus disease 2019 (COVID-19), a global emergency, is caused by severe
acute respiratory syndrome coronavirus 2. The gold standard for its diagnosis is the reverse …