Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Background: This study developed a machine learning model to predict postoperative heart failure (HF) risk in non-cardiac surgery patients. Methods: Using data from 489 patients (109 HF cases, 380 ...

A new study from the University of Pittsburgh and UPMC researchers suggests that measuring your waist in relation to your height may be a better way to predict heart disease risk than using body mass ...

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...

For years, body mass index (BMI) has been the standard tool for assessing obesity and cardiovascular risk. But new research suggests (yet again) it may be missing people who are at real risk of heart ...

Share on Pinterest A new study found that waist-to-height ratio was closely linked to heart disease risk than BMI or waist circumference. Ableimages/Getty Images A new study suggests your body shape ...

What Happened: That smartwatch on your wrist might be getting a serious health upgrade. Researchers at Yale just figured out a way to use AI to scan your watch’s ECG (heart rhythm) data and spot signs ...

Share on Pinterest Eye health may hold the key to predicting heart disease and aging risk, according to new research. PeopleImages/Getty Images Scientists have known for some time now that the eyes ...

Heart failure with preserved ejection fraction (HFpEF) has become a major health issue because of its high mortality, high heterogeneity, and poor prognosis. Using genomic data to classify patients ...

Cardiologists often struggle to assess heart attack risk. New startups using AI could help. For all the modern marvels of cardiology, we struggle to predict who will have a heart attack. Many people ...