
News • Diffusion-based generative model
Better MRI scans of beating hearts with AI
An AI-assisted model can take low-quality MRI heart scans and turn them into high quality images, while reducing the time needed to scan the heart by about 90%.

An AI-assisted model can take low-quality MRI heart scans and turn them into high quality images, while reducing the time needed to scan the heart by about 90%.

MRI study of 802 patients shows carotid plaques become more complex over six years, with calcified plaques twice as likely to develop dangerous internal bleeding.

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…

Maternal contractions during childbirth put considerable stress on a baby's heart. Using a new ultrasound technique, researchers were able to predict complications necessitating C-section.

Creating cardiac ‘digital twins’ at a large scale, researchers hope to gather new insights into heart health. This includes effects of age, sex, and lifestyle factors on heart disease risk.

A new 4D flow MRI method could accelerate diagnosis of aortic stenosis, a progressive and potentially fatal heart condition.

Molecular testing provides a more convenient, personalized way of monitoring of heart transplant recipients, according to insights shared at the Annual Meeting and Scientific Sessions of the ISHLT.

Researchers have developed an AI tool that creates synthetic yet medically accurate models of fibrotic heart tissue (heart scarring), aiding treatment planning for atrial fibrillation (AF) patients.

A network of artificial neurons imitating the human brain could help identify patients at risk of a serious arrhythmia from an ECG and avoid many cases of sudden cardiac death, a new study suggests.

Smaller than a grain of rice: US engineers have developed a pacemaker so tiny that it can fit inside the tip of a syringe — and be non-invasively injected into the body.

By using AI to analyse ECG data, researchers created an algorithm to predict the biological age of the heart. This could be used to identify those most at risk of cardiovascular events and mortality.

While the Medical Device Regulation was designed to enhance safety and quality, its complexity and certification costs threaten the availability of vital devices. Cardiologists urge for revision.

A large new study of more than 40,000 patients finds that a zero coronary artery calcium score continues to be an accurate indicator of a low risk for a coronary heart event even as a person ages.

A pacemaker designed for babies could fill an unmet need for newborns with congenital heart defects and other heart conditions, finds a new study.

Life cycle assessment of bypass surgery procedures reveals opportunities to reduce the ecological footprint of healthcare, from reducing disposable materials to improving energy efficiency.

Nuclear cardiology is a specialised field in nuclear medicine that evaluates the heart function to help diagnosing conditions such as coronary artery disease and to assess treatment efficacy, whilst minimising invasive procedures like biopsies. More recently, clinicians have increasingly opted for nuclear imaging over endomyocardial biopsy to diagnose cardiac amyloidosis, allowing for earlier…

A newly-developed robot can detect medication side-effects in patients after heart arrhythmia treatment faster than a human doctor, while reducing the number of follow-up tests.

Patients aged between 50 to 70 years with a mechanical heart valve replacement had better long-term survival compared to those with a biological valve, new research has found.

Newborns with heart complications can rely on their immune systems to regenerate, but adults aren’t so lucky. A new study explores this mechanism, paving the way for treatments after a heart attack.

Analysing long-term ECG recordings for signs of heart abnormalities such as arrhythmias is a time-consuming process. New research finds that AI is better suited for this task than humans.

Coronary computed tomography angiography (CCTA) 3D imaging of the heart greatly contributes to preventing heart attacks, compared to standard tests, a new study finds.

A survey found that many Americans use a device to monitor their heart, but few share that data with their doctor. Cardiologists explain when findings should be discussed with a medical professional.

Environmental factors such as low temperatures and carbon monoxide levels in the air have long been underestimated as risk factors for triggering a heart attack, new research suggests.

Scientists have now discovered that the heart has its own complex nervous system – a 'mini brain', if you will – that is crucial to controlling its rhythm.

Opposing views on new implantable cardiac devices were aired in a Great Debate session at the European Society of Cardiology’s annual 2024 congress in London. Experts discussed emerging techniques and technologies and debated whether they are actually ready for clinical application. At the core of the session was the issue of whether conduction system pacing (CSP) should replace cardiac…