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 ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

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

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 ...

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 ...

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

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 ...

It’s the moment software engineers, executives and investors turn their work over to Anthropic’s Claude AI—and then witness a thinking machine of shocking capability, even in an age awash in powerful ...

A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.