AI-ECG provides a non-invasive, accessible alternative for detecting LVSD in muscular dystrophy patients, overcoming challenges of routine echocardiography. The study showed AI-ECG's high sensitivity ...

A systematic review and meta-analysis published in JAMA Internal Medicine identified persistent deficiencies in electrocardiogram interpretation across all levels of medical training. Analysis of 78 ...

Correct interpretation of an electrocardiogram may prompt life-saving, emergency measures; incorrect interpretation may delay care with life-threatening consequences. Currently, there is no uniform ...

Artificial intelligence (AI)-based ECG interpretation outperformed standard pathways for the detection of occlusive myocardial infarction (MI), according to a study presented today at ESC Acute ...

Heart failure affects about 2% to 3% of people globally—including up to 9% of those over 60—and about 6.5 million Americans. For a person with this chronic, progressive condition, the heart isn’t able ...

Schematic representation of the ECG-LM model, a multi-modal large language model for cardiovascular diagnostics. The model integrates ECG data with patient information, offering accurate and ...

Learning the art of ECG interpretation requires intellect, commitment, effort and — perhaps most importantly — an organized approach. I have spent thousands of hours (yes, thousands) looking at ...

A specialist tells how to interpret subtle changes on the ECG, including those caused by two life-threatening syndromes you might otherwise miss. Reading ECGs is like learning to appreciate art—it is ...

A study observed how well researchers could interpret ECG data from various wearables, and Apple Watch came out as the most favorable but is no better at detecting atrial fibrillation than others.

Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in ...

1 Department of Family Medicine, University of Washington, Seattle, Washington, USA 2 Division of Ciology, University of Washington, Seattle, Washington, USA 3 Division of Ciology, Seattle Children's ...