An artificial intelligence algorithm for ECG interpretation (AI-ECG) is superior to conventional, guideline-recommended STEMI criteria for identifying patients with chest pain who have an occluded ...

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). A new AI model can flag female patients who are at higher risk of heart disease ...

Artificial intelligence (AI)-guided screening for atrial fibrillation (AF) based on ECGs can successfully identify patients who are more likely to have the arrhythmia detected on subsequent monitoring ...

All over the world, cardiovascular problems are one of the leading causes of death. Across many communities, healthcare workers use electrocardiogram (ECG) sensors to monitor the heart of the patients ...

The rhythm is regular at a rate of 132 beats/min. The QRS complexes are wide (0.16 sec). Although the QRS complexes have a morphology that resembles a right bundle branch block (RBBB), with a tall ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, announced today that ...

Major electrocardiogram abnormalities are associated with a significant 2-fold higher risk for cardiovascular mortality among patients with ANCA-associated vasculitis compared with a control group.

ECG results from a patient with LQTS (bottom), which have a prolonged QT interval, are shown relative to normal ECG results (top). Researchers used iPSCs derived from a young patient with LQTS to ...