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

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...

A Cincinnati-based research team has built a generative AI virtual assistant designed to help nonphysician clinicians ...

A risk model predicts the risk for heart failure in patients with atherosclerotic cardiovascular disease and flags a notable ...

Elizabeth Cooney is a cardiovascular disease reporter at STAT, covering heart, stroke, and metabolic conditions. You can reach Liz on Signal at LizC.22. Just over a year ago the PREVENT calculator to ...

A made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted ...

Researchers validated the performance of the PREDICT-HFpEF tool in the FINEARTS-HF trial (2020-2023), which assessed the efficacy and safety of finerenone in patients with HFmrEF/HFpEF. A total of ...

Heart failure (HF) is estimated to affect over 60 million people globally and its prevalence is expected to rise as a consequence of aging populations. It results from an inability of the heart to ...

The MIH model did not significantly reduce 30-day readmissions or improve overall health status compared to TOCC. Women and younger patients benefited more from the MIH model, showing reduced ...

New research from a multi-institutional team, published in Nature Cardiovascular Research, reveals that heart failure and atrial fibrillation share underlying genetic and molecular mechanisms, ...