UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...

OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...

Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at ...

Right ventricular dysfunction (RVD) is prevalent in 41.7% of patients with heart failure with preserved ejection fraction ...

Syncope prediction during head-up tilt testing (HUTT) remains challenging due to the complex interplay between autonomic and cardiovascular responses. This study investigates three computational ...