Artificial intelligence is extending beyond aneurysm detection towards patient-specific rupture assessment and treatment support, with multimodal models generally outperforming a
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Targeted placement of the left ventricular lead did not improve outcomes in patients with heart failure undergoing cardiac resynchronisation therapy , according to results presente
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Early ECG monitoring initiated in the emergency department (ED) has the potential to transform the care of thousands of patients who attend the ED with unexplained
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The CARDIO-TTRansform trial investigating eplontersen in patients with transthyretin-mediated amyloid cardiomyopathy did not meet its primary efficacy endpoint, according to results presented in1
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When a myocardial infarction, such as a heart attack, occurs, being able to classify its type can improve diagnosis and treatment. For the first time, a universal definition of myocardial infar
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A response-tailored strategy reduced antibiotic duration by two weeks without compromising the safety of patients with left-sided infective endocarditis. This was the main finding from the POET-1
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The first-ever European Society of Cardiology Guidelines on the management of cardiovascular disease and chronic kidney disease have been developed in collaboration with the European Renal Assoc1
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Aficamten treatment was associated with significant improvements in symptom burden and exercise capacity in patients with symptomatic non-obstructive hypertrophic cardiomyopathy, according
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Artificial intelligence models for predicting future cardiovascular disease risk show promising performance, but major validation and reporting gaps currently limit their clinical use. A s
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A multi-task deep learning framework assesses echocardiographic image quality and gives real-time guidance on probe positioning. Described in the IEEE Journal of Biomedical and Hea
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