Mapping care management needs by defining patient populations and then stratifying them according to risk and their needs can help to spur the transformation of a siloed health care system into an ...

A MACHINE learning model can accurately predict in-hospital mortality in patients with Takotsubo cardiomyopathy (broken heart syndrome), identifying cardiogenic shock and acute kidney injury as key ...

Eight specific habits — diet, sleep, physical activity, smoking, body mass index, blood glucose, lipids and blood pressure — ...

Your average daily heart rate is a useful metric; so is your daily step count. Combining the two might be even better.

Implementing artificial intelligence (AI) has transformed clinicians' and health systems' ability to screen for and distinguish forms of cardiorenalmetabolic disease.