Cardiolyse’s AI-driven ECG analytics make it possible to identify at-risk individuals before symptoms appear.” — Normunds Daudiss, CEO, Cardiolyse HELSINKI, FINLAND, July 14, 2025 /EINPresswire.com/ - ...

Objective Early prediction of atrial fibrillation (AF) development would improve patient outcomes. We propose a simple and cheap ECG based score to predict AF development. Methods A cohort of 16 316 ...

Researchers develop an AI model that uses ECG data to predict the risk for adverse vascular events in patients with migraine.

The Apple Watch added electrocardiogram (ECG) heart measurements in 2018, and the feature has been saving lives since. Learn how to use it.

Artificial intelligence (AI)–based electrocardiogram interpretation (AI-ECG) detected left ventricular systolic dysfunction ...

A study led by scientists at King's has revealed how the physical orientation of the heart inside the chest dramatically ...

Background Screening to prevent sudden cardiac death remains a contentious topic in sport and exercise medicine. The aim of this study was to assess whether the use of a standardised criteria tool ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

The past 12 months mark a milestone year for the discipline of sports and exercise cardiology.We have seen the publication of two major guideline documents for athletes: the 2025 American Heart Associ ...

Background In 2010, the European Society of Cardiology (ESC) released recommendations for the interpretation of the 12-lead ECG in athletes, dividing changes into group 1 (training related) and group ...