Researchers at Carnegie Mellon University’s College of Engineering have devised a way to 3D bioprint tissue scaffolds out of collagen, putting them one step closer to the goal of printing a full-sized, functional human heart.
Medtronic and Viz.ai, an AI-driven tech company, have joined forces to promote the adoption of imaging software that could drastically cut the time it takes physicians to identify suspected large vessel occlusion.
A miniscule fiber-optic sensor could outperform more traditional methods for monitoring blood flow during prolonged and intensive surgical CV procedures, even in the smallest and youngest heart patients, researchers at Flinders University in Australia report.
Though it’s guideline-directed to assess acute MI patients with echocardiography following a heart attack, hospitals that follow that rule incur greater costs and lengths of stay than those that employ echo more selectively, a recent study found.
Royal Philips has rolled out the latest update for its EPIQ CVx and EPIQ CVxi cardiac ultrasound systems, expanding to include automated applications for 2D assessment of the heart and robust 3D measurements of right ventricular volume and ejection fraction.
The antihypertensive drug nilvadipine may benefit Alzheimer’s patients by encouraging blood flow to the brain, slowing the progression of the disease while reducing blood pressure in the hippocampus, researchers reported in Hypertension June 17.
Consuming 32 ounces or more of an energy drink within an hour could raise blood pressure and trigger life-threatening arrhythmias, according to research published ahead of print in the Journal of the American Heart Association.
Bypassing standard angiography and skipping straight to an MRI might help physicians more easily identify and treat patients who have suffered non-ST segment elevation myocardial infarction (NSTEMI), a team at Weill Cornell Medicine and NewYork-Presbyterian have found.
An artificial intelligence “super brain” could help eliminate unnecessary diagnostic testing in patients who present with stable chest pain, according to a recent study, potentially saving physicians and patients significant time and money.
A machine learning algorithm can now predict death and MI more accurately than certified cardiologists, according to research presented at the International Conference on Nuclear Cardiology and Cardiac CT in Lisbon, Portugal, this May.