Language-based AI model spots early heart disease in ECGs, reaching 94.2% accuracy

A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...

Smartphone apps, wearable trackers can help people with heart disease boost physical activity

Smartphone apps, fitness trackers and wearable devices help people with heart disease get more physical activity in their ...
University of California, San Francisco

How a New AI Framework Can Help Doctors Build Better Tools

Researchers at UCSF developed a new way to build clinical prediction tools that combines the speed of artificial intelligence ...

ECG privacy model shields age, sex and race while preserving heart risk signals

It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs enhanced with artificial intelligence (AI) can contain data about a patient's ...
RMD Open

Carotid-femoral pulse wave velocity improves cardiovascular risk prediction beyond SCORE2 in autoimmune rheumatic diseases: a 7-year follow-up study

Objectives To evaluate the prognostic value of carotid-femoral pulse wave velocity (cfPWV), a marker of aortic stiffness, for ...