New York-based healthcare system Mount Sinai has created a new role of chief digital officer, which will be filed by Andrew Kasarskis, PhD, who will also hold the role of executive vice president.
Researchers have identified a new barrier to timely care for MI patients: a perceived inability to act that leaves them immobilized and unable to seek professional help, in some cases for an excess of 24 hours.
Diagnosing coronary artery disease, the most common type of heart disease in the U.S., can be improved by AI, according to a new, multicenter international study published in The Journal of Nuclear Medicine.
The atrial fibrillation market is projected to reach $14.68 billion by 2026, according to recent estimates from market research company Reports and Data.
Recent research has found studies with better diagnostic test accuracy get published quicker, but does that correlation apply to abstracts presented at the RSNA Annual Meeting?
An AI analysis of hospital patients’ satisfaction with the care they received from their nurses has shown two things. One, the technology can guide nurses as they strive to optimize the hospital experience for patients and their families. Two, nurses can help advance AI in healthcare.
Whole-body CT should not be routinely performed for patients who have been involved in a high-impact motor vehicle crash but show no signs or symptoms of internal injury on physical examination, according to the authors of a study published Tuesday in Radiology.
Smoking flavored e-cigarettes can have a detrimental effect on endothelial function, leaving e-cig users prone to poor vascular health and heart disease, researchers report in the June edition of the Journal of the American College of Cardiology.
Deep learning designed to read single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) can improve the diagnosis of coronary artery disease—a killer of more than 370,000 people in the U.S. annually.
