Background: Evaluating the performance of the available machine learning software is
fundamental to ensure trustworthiness and improve automated diagnosis. This study …

This systematic review focuses on using artificial intelligence (AI) to detect COVID-19
infection with the help of X-ray images. Methodology: In January 2022, the authors searched …

Background Chest radiography may play an important role in triage for coronavirus disease
2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the …

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 …

Background In hospitals, it is crucial to rule out coronavirus disease 2019 (COVID-19) timely
and reliably. Artificial intelligence (AI) provides sufficient accuracy to identify chest computed …

Aim: The aim of the study was to present the results and impact of the application of artificial
intelligence (AI) in the rapid diagnosis of COVID-19 by telemedicine in public health in …

Background: The coronavirus disease 2019 (COVID-19) pandemic has disrupted the world
since 2019, causing significant morbidity and mortality in developed and developing …

The management of COVID-19 patients based on chest imaging is emerging as an essential
tool for evaluating the spread of the pandemic which has gripped the global community. It …

Purpose To investigate the diagnostic performance of an Artificial Intelligence (AI) system for
detection of COVID-19 in chest radiographs (CXR), and compare results to those of …

Context: As the burden of COVID-19 enhances, the need of a fast and reliable screening
method is imperative. Chest radiographs plays a pivotal role in rapidly triaging the patients …