Purpose: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic male marathon runners.
Material And Methods: We prospectively recruited 100 asymptomatic male marathon runners over the age of 45 for CAD screening. CCTA was analyzed using AI models (CorEx and Spimed-AI) on a local server.
Purpose: The purpose of this study was to evaluate the capabilities of photon-counting (PC) CT combined with artificial intelligence-derived coronary computed tomography angiography (PC-CCTA) stenosis quantification and fractional flow reserve prediction (FFRai) for the assessment of coronary artery disease (CAD) in transcatheter aortic valve replacement (TAVR) work-up.
Materials And Methods: Consecutive patients with severe symptomatic aortic valve stenosis referred for pre-TAVR work-up between October 2021 and June 2023 were included in this retrospective tertiary single-center study. All patients underwent both PC-CCTA and ICA within three months for reference standard diagnosis.
Background Neonatal endotracheal intubation attempts often fail, with failures typically attributable to unintended esophageal intubation, with asphyxia, brief or prolonged, as the consequence. Standard-of-care neonatal endotracheal tubes have changed little over recent decades, even as the gestational age of neonates thought eligible for resuscitation and intensive care has decreased. Methods A new neonatal endotracheal tube was patterned after the soft steering mechanism of a two-string fishing line trocar.
View Article and Find Full Text PDFObjectives: We set up to evaluate the relative risk of harms in trials performed in less developed vs. more developed countries.
Study Design And Setting: Meta-epidemiologic evaluation using the Cochrane Database of Systematic Reviews.