Arteries can narrow with fatty buildup. Blood struggles to move. Oxygen drops. A heart attack can follow, and it remains the world’s top killer. Researchers at the University of California San Diego ...

Background Coronary microvascular dysfunction (CMD) is associated with a poor prognosis but is difficult to diagnose non-invasively. In a recent paper, ST-segment depression on exercise-ECG was found ...

A 68-year-old man without previous comorbidities presented to the emergency department with complaints of palpitations and giddiness. On examination, his pulse rate was 92 beats per minute, and his ...

The use of consumer smartwatches within telemonitoring boosts new diagnoses of atrial fibrillation (AF) compared with standard approaches in older patients who are at high risk for stroke, the ...

Among a group of women with gestational diabetes, those with polycystic ovary syndrome had similar rates of adverse pregnancy and neonatal outcomes as women without PCOS, researchers reported. Adults ...

Abstract: Cardiovascular diseases, which are currently the major causes of death globally, can be largely ameliorated through early detection and categorization. Electrocardiogram (ECG) tests have ...

What about an ECG foundation model? Cardiovascular diseases are the leading cause of death worldwide, accounting for an estimated 17.9 million deaths annually, which is about 32% of all global deaths.

We read with great interest the article by Accorsi et al. titled “Evaluation of AI-enhanced tele-ECG response time and diagnosis in acute chest pain patients,” recently published in Frontiers in ...

Scripts and modules for training and testing deep neural networks for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ...

Abstract: The application of artificial intelligence and deep learning in cardiology has great potential for diagnostics and prevention of cardiovascular diseases. This work contributes to the ...