COVID-19 pandemic has caused “global collateral damage” by disrupting cardiac services . Across the world problems with heart health will “...continue to accrue unless mitigation strategies are speedily implemented”.
Wireless bioresorbable pacemaker bypasses need to extract non-biodegradable leads, eliminating additional risk to the patient.
Researchers at the Georgia Institute of Technology have developed a smart stent that can monitor hemodynamic parameters. The wireless and battery-free device can transmit the data to the outside of the body.
Transcatheter Aortic Valve Implantation (TAVI) is a less invasive procedure that is just as effective as open-heart surgery in treating severe symptomatic aortic stenosis, a new study shows.
Two successive studies highlight advances in non-invasive 3D ultrasound imaging, making it possible to observe blood flow in real time in the heart and the brain.
Using MRI scans to detect heart failure could revolutionise how the condition is diagnosed, thanks to new research from the University of East Anglia and the University of Sheffield.
A method for delivering genetic material to the body that has proven useful in Covid-19 vaccination is now being tested as a way to repair damaged heart muscle after a heart attack.
Sleep problems could hint at a heightened risk of heart disease, caution experts at the ESC Preventive Cardiology 2022 congress.
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
For people with atrial fibrillation, one of our most common cardiac disorders, dementia risk is elevated.
Engineers developed a variable stiffness catheter made of nontoxic threads that can transition between soft and rigid states during surgery.
Reducing inflammatory mediators in the blood before surgical treatment of cardiac bacterial infection does not improve clinically relevant outcome, a new study shows.
Smart textiles with built-in sensors and transmitters present themselves as a diagnostic solution as they can monitor heart rhythm over long periods and thus pick up on potential Atrial Fibrillation.
A way to replicate what happens inside the heart after cardiac arrest could open new avenues for the study of heart regeneration whilst reducing the use of live animals in research.
The system could enable significant advances for the 40,000 pediatric congenital heart disease patients born each year.
When it comes to imaging stable cardiac chest pain, which modality should be used as the first-line test to investigate coronary artery disease: CT or MRI? Radiologists discussed the strengths and limitations of the two approaches in a lively Pros and Cons session at ECR Overture this week.
Cardiac rehabilitation can be done just as well at home as in the hospital. This is the conclusion of the most extensive research into ‘tele-rehabilitation’ to date.
Researchers pinpoint a sound-sensitive mammalian protein that lets them activate brain, heart or other cells with ultrasound.
Heart cells from a patient with an inherited heart disease called arrhythmogenic cardiomyopathy do not contract correctly when grown in the laboratory, researchers from Osaka University have found.
US surgeons perform historic first successful transplant of porcine heart into adult auman with end-stage heart disease.
New study results show that though men are more likely to have heart conditions, the impact on their memory and thinking skills is lower.
A tiny ‘pop-up’ sensor monitors the electrical activity inside heart cells. The device could provide new insights into cardiac diseases, including myocardial infarction and arrhythmias.
Interventional cardiology is entering a new era with the wider introduction of robotic procedures which bring significant benefits to the medical team and the patient. Two experts outlined the benefits at the ESC 2021 Digital Summit.
Using a new x-ray imaging approach, an interdisciplinary research team has detected significant changes in the heart muscle tissue of people who died from Covid-19.
A new pilot study suggests that machine learning algorithms which fuse electrocardiogram (ECG) and electronic health record data may help doctors screen for dangerous, lung-clogging blot clots.