When reading the ECG of a patient presenting with cardiopulmonary complaints, the most important duty of acute care clinicians is to determine whether there is evidence of an acute coronary occlusion ...
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 ...
Correspondence to Ricardo Stein, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-903, Brazil; rstein{at}cardiol.br Objectives To evaluate the prevalence of abnormal ECG findings and ...
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 ...
Researchers at the University of Pennsylvania have developed CAMEL, an AI model that can detect warning signs of cardiac arrest 10–15 minutes before onset by analyzing extended ECG data. Unlike ...
Congenital heart defects are relatively common, among which atrial septal defects (ASDs) are the most prevalent in adults. Without timely treatment, ASDs may lead to permanent cardiovascular damage ...
QRS interval widening appears to be highly specific for the diagnosis of hyperkalemia in patients with end-stage kidney disease. ECG changes, in general, have poor sensitivities for hyperkalemia in ...
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