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Artificial intelligence in cardiovascular medicine: nothing will be as it was
doi : 10.1093/eurheartj/ehag361
Volume 47, Issue 18, 7 May 2026
Wearable devices and cardiovascular health: revolutionizing remote monitoring and disease prevention
Bridging guidelines and large language models: a case for retrieval-augmented generation
Large language models in scientific publications: challenges and opportunities
Updated critical quality criteria for real-world artificial intelligence implementation
Deep learning electrocardiogram model for risk stratification of coronary revascularization need in the emergency department
From electrocardiographic patterns to prognostic insights: AI-assisted perspectives on revascularization decisions
Performance of artificial intelligence-generated vs human-authored abstracts in a real-world setting
Foundation models for electrocardiogram interpretation: clinical implications
Artificial intelligence-enhanced electrocardiograms: building on solid foundations
Digital profile of children’s hearts: automated echocardiogram strain analysis facilitates earlier detection of cardiac dysfunction
Unveiling the future: deep learning redefines strain analysis in paediatric cardiology
Artificial intelligence–based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortality
Breast arterial calcification: a trigger for dual pathways of prevention
Overlooked complexities in pregnancy hypertension-cardiovascular disease genetic studies
Genetic and methodological considerations in hypertensive disorders of pregnancy and risk of cardiovascular disease
Loeffler’s endocarditis and mitral regurgitation: look below the valve
Immune checkpoint inhibitor-associated acute myocardial infarction: a case report
Correction to: Foundation models for electrocardiogram interpretation: clinical implications
Weekly Journal Scan: Assessing the role of revascularization in patients with asymptomatic carotid artery stenosis
