Long COVID occurs in approximately a third of COVID-19 survivors, with the CDC estimating one in 13 adults in the United States have long COVID symptoms such as brain fog, shortness of breath and ...

VIENNA — Some patients who had mild COVID-19 infection during the first wave of the pandemic and continued to experience postinfection symptoms for at least 12 months after infection present abnormal ...

Compared with those with normal chest CT, patients with abnormal chest CT had significantly worse overall survival, nonrelapse mortality, and pulmonary-related death. "Screening chest CT is frequently ...

Experts representing multiple societies and institutions across 14 countries have published guidance for computed tomography (CT) imaging in patients with residual lung abnormalities after COVID-19 ...

An artificial intelligence (AI) tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a study published in Radiology, a journal of the Radiological Society ...

OAK BROOK, Ill. – An artificial intelligence (AI) tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a study published in Radiology, a journal of the ...

Please provide your email address to receive an email when new articles are posted on . Some Black smokers had worse COPD classification after use of race-neutral vs. race-specific lung function ...

This study aimed to evaluate the diagnostic value of four serum biomarkers (CEA, CYFRA21-1, NSE, CA125), both individually and in combination, for identifying clinically significant abnormal chest ...

Lung cancer is one of the few cancers with a well-defined etiology — inhalation of tobacco smoke. Patients at high risk for lung cancer should decide with their clinician whether or not to undergo ...

OAK BROOK, Ill. – Artificial intelligence (AI) can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, ...

The generative adversarial network (GAN) is a promising deep learning method for generating images. We evaluated the generation of highly realistic and high-resolution chest radiographs (CXRs) using ...