The UK Biobank Imaging Study, with its dedicated cardiovascular magnetic resonance substudy, has redefined the scale and scope of cardiovascular research, generating high-quality imaging in 100 000 participants with linkage to rich genetic, demographic, lifestyle, and clinical data. The resource has enabled transformative discoveries across genomics, epidemiology, and biomedical engineering and has served as a global blueprint for population imaging studies. Its success has been accelerated by an equitable data access model that fosters international collaboration. The UK Biobank cardiovascular magnetic resonance experience illustrates the power of large-scale imaging cohorts and sets a benchmark for future initiatives aimed at improving cardiovascular health through integrated, collaborative science. Looking ahead, efforts should focus on harmonization across cohorts, adherence to rigorous methodological standards, and multidisciplinary collaboration to drive meaningful clinical translation. This article provides an overview of the UK Biobank and its cardiovascular magnetic resonance substudy, systematically reviews publications to date, discusses limitations and methodological considerations, and highlights future directions.

Left ventricular (LV) hypertrabeculation, formerly termed LV noncompaction, is a heterogeneous myocardial entity linked to adverse cardiovascular outcomes. This study evaluated embolic risk in patients with dilated cardiomyopathy (DCM) according to the presence of hypertrabeculation and examined its prevalence and prognostic relevance across DCM genotypes.

Extension follow-up trials are essential for understanding the long-term safety and efficacy of cardiovascular interventions. Whereas primary randomized trials primarily capture short-term outcomes, extended observation may reveal delayed benefits or harms that are highly relevant to clinical decision-making. However, methodologic standards for extension trials remain poorly defined, leading to inconsistent design, analysis, and reporting. This scientific statement outlines best practices for cardiovascular trial extensions, addressing outcome selection, duration and completeness of follow-up, and analytic strategies suited to evolving treatment effects. Practical considerations, including strategies for participant retention, reconsent, data continuity, and resource allocation, are also discussed.

Anthracyclines are a widely used and effective class of chemotherapy. However, a major limitation for their use is cardiotoxicity, manifesting as systolic dysfunction, congestive heart failure, and arrhythmias. The objective of this study was to identify genes and genetic risk variants for doxorubicin-induced arrhythmia.

The inferior pyramidal space (IPS), the epicardial adipose tissue extending from the inferior crux of the heart, contains the atrioventricular node (AVN) at its apex. However, innervation of the human AVN via the IPS remains unknown.

Large left atrial volume (LAV) is a strong predictor of advanced left atrial substrate and is associated with less successful outcomes following pulmonary vein isolation (PVI) alone. Prespecified variables of the aMAZE trial were evaluated to access for the impact of LAV and left atrial appendage ligation on atrial fibrillation (AF) outcomes.

Recent meta-analyses of randomized controlled trials have raised concerns that treatment with omega-3 fatty acids may increase the risk of atrial fibrillation (AF). However, these meta-analyses included at most 8 trials. The aim of this current meta-analysis was to expand the search by including other eligible omega-3 randomized controlled trials with AF incidence data, incorporating both published and unpublished data.

Congenital heart defects afflict ≈1% of all births worldwide. Although deep learning has shown significant promise in automating and improving adult echocardiography analysis, existing pediatric-based models are often limited to single tasks and specific echocardiographic views. To address this, we introduce EchoAI-Peds, a multitask deep learning model for pediatric echocardiography. Our model was developed using the most comprehensive set of pediatric labels to date and is designed to integrate information from multiple views simultaneously.

Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, externally validate, and prospectively test a machine learning prediction model using electronic health records (EHRs) to guide AF screening.

Androgen deprivation therapy (ADT) improves outcomes in advanced prostate cancer but is associated with increased cardiovascular morbidity and mortality. Arterial inflammation, measurable by [18F]FDG positron emission tomography, may represent an intermediate pathway linking ADT to cardiovascular risk. We quantified intraindividual changes in arterial inflammation on [18F]FDG positron emission tomography/magnetic resonance across ADT exposure, characterized their temporal trajectory, and explored associated clinical factors.