A person with advanced heart failure can look stable at a routine clinic visit. Their vitals may not alarm anyone.

Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found.

The powerful new AI tool can predict heart failure outcomes in specific patients, helping doctors improve care. UVA Health researchers have developed a powerful new risk assessment tool for predicting ...

Two University of Alabama at Birmingham School of Nursing faculty, Associate Professor and Senior Director of the Center for Nursing Excellence at UAB Hospital and HRTSA Clinic Connie White-Williams, ...

Late-stage failure of the left side of the heart is an often-fatal condition affecting hundreds of thousands of people in the U.S. alone. A mechanical heart pump can be a lifesaving intervention for ...

Research presented at the American Heart Association (AHA) Scientific Sessions in Chicago, Illinois, found that the Kansas City Cardiomyopathy Questionnaire-12 (KCCQ-12) was able to assess patients’ ...

Congestive heart failure is a chronic heart condition that usually occurs in older people However people with a history of ...

Please provide your email address to receive an email when new articles are posted on . CAD was significantly prognostic of all-cause mortality in patients with heart failure. Mortality risk was ...

Panelists discuss how heart failure creates a massive economic burden of approximately $30 billion annually (expected to reach $70 billion to $80 billion by 2030), driven by hospitalizations, ...