An AI-assisted stethoscope could help doctors identify patients with valvular heart disease who may otherwise go undiagnosed. This could reduce hospital admissions and overall healthcare costs.
Pioneering research has shown that heart muscle cells regrow after a heart attack, opening up the possibility of new regenerative treatments for cardiovascular disease.
TV depictions of out-of-hospital cardiac arrest may mislead viewers about who is most likely to need cardiopulmonary resuscitation (CPR) and where it’s needed, new research reveals.
Cardiovascular disease and depression do not co-occur by chance; the TO_AITION project aims to enable earlier diagnosis of comorbidity, better risk prediction and personalised treatment strategies.
Can CT-derived fractional flow reserve (FFR-CT) be used in patients with angina to predict future major cardiovascular events? A novel AI-based approach for CCTA analysis yields promising results.
Despite significant advances in the treatment of atrial fibrillation, a new Danish study shows that social inequities in survival have remained virtually unchanged over the past 20 years.
People with diabetes face a higher risk of sudden cardiac death, a new study finds. Alarmingly, the increase in risk is especially noticeable among younger adults.
A patient reports with chest pain, but in the coronary angiogram, the main heart arteries look clear, so it cannot be angina – right? A new study reveals that this approach can easily lead to misdiagnosis.
After a bout of influenza or Covid, the risk of heart attack or stroke may rise dramatically, and chronic infections may increase the long-term risk of serious cardiovascular disease events.
The bigger the baby, the bigger the risk: A new study shows that the birthweight of a preterm infant is linked to its mother's risk of getting cardiovascular disease later in life.
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…
It is known that depression is linked to increased incidence of metabolic diseases; now scientists have discovered that different types of depression are linked to different cardiometabolic diseases.
Using AI to help detect one of the leading killers of women worldwide: A new machine learning model can successfully predict heart disease risk in women by analysing mammograms.
Use of an AI voice agent to prompt self-reported blood pressure readings may help improve accuracy of at-home blood pressure measures and patient outcomes in older patients with hypertension.
Systematic screening and support for mental health conditions such as depression, anxiety, or PTSD should become normalised in cardiovascular care, cardiologists urge in a new Consensus Statement.
The European Society of Cardiology (ESC) has awarded Roxana Mehran, MD, from Mount Sinai, with its top honor, the “ESC Gold Medal”, during a special ceremony at the ESC Congress in Madrid.
An unexpected trigger for heart attack: Researchers show that dormant bacteria can contribute to atherosclerotic plaques and fatal myocardial infarction, effectively making it an infectious disease.
Blood vessels become stiffer with age, but a new study suggests that a Covid infection could accelerate this process, increasing the risk of cardiovascular disease, including stroke and heart attack.
Type 2 diabetes greatly increases the risk of heart attacks, strokes, anginas, and other coronary heart diseases. Therefore, biomarkers to predict individual risk are needed, experts say.
