FDA-cleared AI-CVD® extracts preventive insights from routine CT—identifying hidden cardiovascular, metabolic, and ...

The Advanced Research Projects Agency for Health (ARPA-H) is soliciting proposals to develop two agentic AI assistants for ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Cardiovascular disease that presents first as heart failure is common in type 2 diabetes and its risk factors differ from those of cardiovascular disease that present first as atherosclerotic events.

Healthcare institutions delete records of patient encounters, common cardiology patients are underrepresented in clinical trials, and a medical device is less accurate in patients with darker skin.

The AHA recommended whole exome or whole genome sequencing as first-line diagnostic tools for mitochondrial diseases.

The American College of Cardiology issued its inaugural JACC Cardiovascular Statistics report, highlighting the prevalence of ...

Retinal artificial intelligence screening was associated with improved CVD risk classification in hypertensive retinopathy.

Female reproductive factors minimally impacted cardiovascular disease risk prediction models. Only female-specific factors as a group, not individually, were linked with marginal improvements in risk ...

In this study, researchers aimed to characterize cardiometabolic risk factors and cardiovascular disease incidence in ...

Women who experienced stalking or intimate partner violence were 40% more likely to self-diagnose an adverse cardiovascular event compared with women who did not. This study used data from the Nurses’ ...