When it comes to learning ECG interpretation, theres simply no faster or easier way to master basic rhythms than this unique book. Using a fun and easy-to-understand writing style, this updated new ...
Chest pain is among the most common reasons for presentation to the emergency department, yet identifying patients at 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, ...
Japan-based study involving Osaka University finds valuable correlation between use of advanced airway management and ECG rhythms indicating need/non-need for defibrillation during out-of-hospital ...
Discover how machine learning models are revolutionizing the diagnosis of occlusion myocardial infarction (OMI) in patients with acute chest pain. Machine learning models surpass clinicians and ...
Nagpur: An artificial intelligence (AI) model has been found to identify patients with intermittent atrial fibrillation even when performed during normal rhythm using a quick and non-invasive 10 ...
Deep learning (DL) has achieved promising performance in detecting common abnormalities from the 12-lead electrocardiogram (ECG). However, diagnostic redundancy exists in the 12-lead ECG, which could ...
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