Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

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 ...

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, ...

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 ...

The MarketWatch News Department was not involved in the creation of this content. Company to present four studies, including a late-breaking featured science presentation, and host interactive ...

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 ...

MINNEAPOLIS — Artificial intelligence (AI) may help identify patients with migraine at an increased risk for atrial fibrillation (AF) and other vascular complications, new research showed. Results of ...

SAN FRANCISCO, CA—Artificial intelligence-based ECG interpretation (AI-ECG) outperformed standard decision-making when it came to detecting angiographically confirmed STEMI across three primary PCI ...

HeartSciences Inc., an AI-driven medical technology company, reported its financial results for the fiscal year ending April 30, 2025, and highlighted its strategic advancements in transforming ECGs ...