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 ...

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 ...

Incorporating an electrocardiogram (ECG) during pre-participation screening for athletes has demonstrated a reduction in incidence of sudden cardiac death (SCD); however, it remains controversial in ...

Electrocardiogram (ECG) interpretation remains a critical skill in both undergraduate and postgraduate medical education. Despite being one of the most commonly performed diagnostic procedures, the ...

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 ...

"As advances in basic and clinical cardiology research continue, new conditions that can be identified on ECGs have been described," said Dr Alan H Kadish (Northwestern University, Chicago, IL), ...

Researchers at Mount Sinai in New York City say they've developed a new artificial intelligence model designed for electrocardiogram analysis. The innovative AI approach could vastly improve the ...

Researchers at the Yale Cardiovascular Data Science (CarDS) Lab have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, ...

AN electrocardiogram (often referred to as ECG or EKG) is the most-ordered heart test. An ECG is required for virtually every patient being evaluated for a heart-related issue or heart-related symptom ...