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Cardiology

The heart must go on: The spectrum of cardiological diseases ranges from arrhythmias to valve defects to heart attacks. However, the diagnostic means and the forms of therapy with intervention, surgery and medication are just as diverse. Read more about this affair of the heart here.

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News • iCTG for resource-constrained settings

Mobile fetal heart monitoring linked to fewer newborn deaths

Introducing mobile iCTG dramatically improves the detection of fetal heart rate abnormalities and strengthens perinatal outcomes - even in resource-constrained environments, a new study shows.

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News • Brain damage analysis

Blood biomarker predicts recovery after cardiac arrest

A simple blood test that can very accurately predict the chance of survival with good recovery could be of great significance for patients in intensive care after a cardiac arrest.

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News • Coronary stent failure

Diabetes increases risk of complications after stent surgery

A new study shows that complications after stent surgery are more common in individuals with diabetes. The results emphasise the importance of tailoring treatment strategies for this patient group.

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News • Implant longevity

Smart feature management to extend pacemaker battery life

Pacemakers have a range of different functions, not all of which are needed for every patient – switching off unnecessary features could help extend the battery life of the devices by several years.

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News • ST-segment elevation myocardial infarction (STEMI)

ECG-reading AI better detects severe heart attacks in emergency setting

In emergency settings, AI to analyze ECG data can improve detection of severe heart attacks, including those with unconventional symptoms, or atypical ECG patterns, and reduced false positives.

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News • Nuclear medicine

PET imaging reveals which patients will (or will not) recover after heart attack

A new approach to PET imaging offers a promising way for physicians to promptly identify patients who are at risk for poor functional recovery after a heart attack, according to new research.

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Article • Expert perspectives from ESC 2025

Faster, smarter, deeper: how new technologies redefine cardiac imaging

Cardiac imaging is evolving, and new techniques continue to uncover the secrets of the heart for cardiologists who know how to use them. At the ESC 2025 Congress in Madrid, four experts explored cutting-edge developments across different modalities. Ranging from AI-assisted ultrasound image acquisition and accelerated MRI protocols to advanced prognostic tools for CT and nuclear imaging, these…

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Article • AI-powered prediction

Machine learning identifies cardiotoxicity risk in breast cancer patients

Researchers have developed a machine learning algorithm that uses cardiac MRI images to help identify breast cancer patients who may be at risk of cardiotoxicity during cancer treatment. The research, led by cardiologist Dr Paaladinesh Thavendiranathan from Toronto General Hospital University Health Network, was presented at the European Society of Cardiology's Cardio-Oncology Conference in…

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Article • Diagnostic and care support

Atrial fibrillation: digital technology to the rescue?

Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor data for better screening, and more: Digital technologies hold great potential to improve diagnosis and treatment of patients with atrial fibrillation (AF). At the ESC 2024 cardiology congress in London, four experts explored the benefits of new solutions and pointed out…

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