This channel includes news on cardiovascular care delivery, including how patients are diagnosed and treated, cardiac care guidelines, policies or legislation impacting patient care, device recalls that may impact patient care, and cardiology practice management.
Neurosurgeon Vitor Mendes Pereira, MD, was in Santiago, Panama, but his patient was in Panama City. "It is the highlight of my career to be involved in this historic achievement," Pereira said.
A multidisciplinary research team has found a new use for a reliable medical device. Multiple heart patients have already benefited for the group’s outside-the-box thinking.
The high-risk patients who require urgent or emergent TAVR are often excluded from major clinical trials. To learn more about this population, researchers explored data from nearly 600 patients treated at high-volume facilities.
U.S. healthcare will know it’s gotten AI right when the technology demonstrably improves care access, attentiveness and outcomes for the least financially healthy among us.
Patients who present with type 2 diabetes and PAD often face substantial mobility issues. According to new data presented at ACC.25, however, treatment with semaglutide could represent a major step forward for this high-risk population.
Wearable health gadgets equipped with AI present myriad opportunities and challenges to healthcare consumers and the healthcare professionals who diagnose, treat and track them.
When patients require subsequent noncardiac surgery after a major heart operation, waiting at least 100 days is one way to limit the risk of an adverse event. Read the full analysis in JACC: Advances.
Researchers tracked three years of CMS data to explore how meal-based marketing may influence the habits of general and advanced heart failure cardiologists.
The FDA shared a warning about these safety issues in February, but said it was still reviewing the evidence. The agency is now saying the devices “may cause serious injury or death” if used without following the updated instructions for use.
Healthcare AI agents can be classified as one of four models. In increasing order of autonomy and clinical integration, these are: foundation, assistant, partner and pioneer.