Association of Epicardial Adipose Tissue and Ventricular Arrhythmias in Patients With Nonischemic Cardiomyopathy.

Background: Risk stratification for sudden cardiac death (SCD) in patients with nonischemic cardiomyopathy (NICM) remains challenging.

Objectives: This study aimed to investigate the impact of epicardial adipose tissue (EAT) on SCD in NICM patients.

Methods: Our study cohort included 173 consecutive patients (age 53 ± 14 years, 73% men) scheduled for primary prevention implantable cardioverter-defibrillators (ICDs) implantation who underwent preimplant cardiovascular magnetic resonance.

From Crop Residue to Corrugated Core Sandwich Panels as a Building Material.

This study explores the potential of using underutilized materials from agricultural and forestry systems, such as rice husk, wheat straw, and wood strands, in developing corrugated core sandwich panels as a structural building material. By leveraging the unique properties of these biobased materials within a corrugated geometry, the research presents a novel approach to enhancing the structural performance of such underutilized biobased materials. These biobased materials were used in different lengths to consider the manufacturing feasibility of corrugated panels and the effect of fiber length on their structural performance.

Older people's perspectives on frailty screening in primary care settings - a citizens' jury study.

Background: As the world's population ages, there is a growing concern with frailty, marked by reduced strength and greater vulnerability to stress. Overcoming obstacles like reluctance towards screening methods in this process is crucial for identifying and addressing frailty at an early stage. Understanding older people's perspectives can help adapt screening procedures in primary healthcare settings.

Accelerated phase-contrast magnetic resonance imaging with use of resolution enhancement generative adversarial neural network.

Background: Cardiovascular magnetic resonance (CMR) phase contrast is used to quantify blood flow. We sought to develop a complex-difference reconstruction for inline super-resolution of phase-contrast flow (CRISPFlow) to accelerate phase-contrast imaging.

Methods: CRISPFlow was built on the super-resolution generative adversarial network.

Late gadolinium enhancement cardiovascular magnetic resonance with generative artificial intelligence.

Background: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging enables imaging of scar/fibrosis and is a cornerstone of most CMR imaging protocols. CMR imaging can benefit from image acceleration; however, image acceleration in LGE remains challenging due to its limited signal-to-noise ratio. In this study, we sought to evaluate a rapid two-dimensional (2D) LGE imaging protocol using a generative artificial intelligence (AI) algorithm with inline reconstruction.