SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …

Due to its pandemic diffusion, SARS-CoV-2 (Severe Acute Respiratory Syndrome
Coronavirus 2) infection represents a global threat. Despite a multiorgan involvement has …

Abstract The Spanish COPD Guidelines (GesEPOC) were first published in 2012, and since
then have undergone a series of updates incorporating new evidence on the diagnosis and …

Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully
automated deep-learning pipeline for the standardization of chest X-ray images, for the …

Background Long-term outcome data of coronavirus disease 2019 (COVID-19) survivors are
needed to understand their recovery trajectory and additional care needs. Methods A …

The current COVID-19 pandemic overloads healthcare systems, including radiology
departments. Though several deep learning approaches were developed to assist in CT …

Although a plethora of research articles on AI methods on COVID-19 medical imaging are
published, their clinical value remains unclear. We conducted the largest systematic review …

Background Integration of imaging and clinical parameters could improve the stratification of
COVID-19 patients on emergency department (ED) admission. We aimed to assess the …

Purpose The increasing trend of chest CT utilization during the COVID-19 pandemic
necessitates novel protocols with reduced dose and maintained diagnostic accuracy. We …

The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in
6.6 million deaths with more than 637 million people infected after only 30 months since the …