Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...

Although the AI-supported stethoscope shows promise, both studies highlight further research across more diverse clinical ...

New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to ...

A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.

Deaths from both causes are down, but they still eclipse all other causes, according to new statistics. By Nina Agrawal Despite gains in treatment, cardiovascular disease remains the leading cause of ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

Many people have no idea what their risk is—until it's too late.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Scientists have uncovered why people with chronic kidney disease so often die from heart problems: damaged kidneys release tiny particles into the bloodstream that actively poison the heart. These ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...