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 ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
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 ...
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 ...
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 ...
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 ...
Although premature ventricular beats (PVBs) in young people and athletes are usually benign, they may rarely mark underlying heart disease and risk of sudden cardiac death during sport. This review ...
ECG Challenge: Tennis Player With an Irregular Pulse An active 45-year-old visits his physician for a routine exam and is found to have an irregular pulse. What does an ECG reveal in this otherwise ...
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