Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...

HeartSciences appointed three experts to its Scientific Advisory Board to enhance AI-driven ECG technology for early heart disease detection. The appointment of distinguished cardiology and AI experts ...

A simple ECG scan could now predict your risk for heart disease, Alzheimer’s, and cancer before symptoms appear—thanks to AI-powered biological age tracking. Study: Reclassification of the ...

An artificial intelligence–ECG risk estimation model designed to predict incident hypertension (AIRE-HTN) identifies cases and stratifies the risk for adverse outcomes in addition to traditional ...

Please provide your email address to receive an email when new articles are posted on . An AI-based ECG model more accurately diagnosed a type of heart attack compared with standard of care. The ...

An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...

As healthcare AI matures in 2026, proof beats promises, trust outperforms technology, and humans reclaim the center of care.