Publications by authors named "S Cangemi"

Artificial intelligence (AI) is transforming cardiovascular imaging by offering advancements across multiple modalities, including echocardiography, cardiac computed tomography (CCT), cardiovascular magnetic resonance (CMR), interventional cardiology, nuclear medicine, and electrophysiology. This review explores the clinical applications of AI within each of these areas, highlighting its ability to improve patient selection, reduce image acquisition time, enhance image optimization, facilitate the integration of data from different imaging modality and clinical sources, improve diagnosis and risk stratification. Moreover, we illustrate both the advantages and the limitations of AI across these modalities, acknowledging that while AI can significantly aid in diagnosis, risk stratification, and workflow efficiency, it cannot replace the expertise of cardiologists.

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Coffee husks have been valorised by isolating humic materials before (HLS-Raw) or after (HS-Comp) composting them. Such substrates were reacted with chitosan at different ratios to synthesize novel nanoparticles (NP) with radical scavenging properties. Size and antioxidant activity of nanomaterials increased at higher HS/chitosan ratio, while zeta potential decreased.

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In some cases it is critical to clinically perform coronary bifurcation stenting to minimize the potential risk for restenosis and/or stent thrombosis. The European Bifurcation Club (EBC) has provided guidelines for optimally performing such procedures. Yet, sometimes such procedures do not go as planned, and in some cases bailout procedures are required.

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Infective endocarditis (IE) is an infective process involving the endocardium and, more frequently, the native heart valves, valvular prostheses and cardiac implantable electronic devices. IE can manifest with various non-specific symptoms making the diagnosis challenging. This condition is associated with high in-hospital and long-term mortality.

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Aims: Lung ultrasound (LUS) is a sensitive tool to assess pulmonary congestion (PC). Few data are available on LUS-PC evaluation in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation (TAVI). The aim of this study was to assess the prevalence and prognostic impact of LUS-PC in patients with severe AS before and after TAVI.

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