Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.
Scientists have captured the real-time electrical activity of a beating heart, using a sheet of graphene to record an optical image of the faint electric fields generated by the rhythmic firing of the heart's muscle cells.
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
Researchers have shown that lab-created heart valves implanted in young lambs for a year were capable of growth within the recipient.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
Researchers have developed an injectable hydrogel that could help repair and prevent further damage to the heart muscle after a heart attack.
A small, wearable heart monitor can detect atrial fibrillation in high-risk patients ten times more frequently than standard tests.
Using mathematical image processing, scientists have found a way to create digital twins from human hearts.
For the first time doctors have shown that measuring changes in 24-hour heart rate can reliably indicate whether or not someone is depressed.