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

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

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 ...

Researchers have found growing evidence that contemporary mammogram imaging combined with AI analysis are able to predict a woman's risk for major cardiovascular events, such as heart attacks and ...

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 ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

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 ...

The way software is developed has undergone multiple sea changes over the past few decades. From assembly language to cloud-native development, from monolithic architecture to microservices, from ...