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.
Due to the ceaseless rush of technological advancements into medicine, many future physicians graduate medical school underprepared for the digital healthcare environment.
Citing evidence from documents and interviews, the Guardian released an exposé accusing UnitedHealth of directly influencing the day-to-day operations of some 2,000 nursing homes, resulting in patients not receiving necessary emergency care.
When paired with willing older adults, talking AI can administer and assess preliminary dementia tests in much the same way—and with similar effectiveness—as human specialists.
In court documents, an unnamed Minnesota woman said that in 2022, she was admitted to an Allina Health hospital and scheduled for the removal of her infected spleen, only for an error to result in her left kidney being removed instead.
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.