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 ...
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settings, deep learning-based models and especially convolutional deep models have shown promise in ...
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 ...
Accurate electrocardiogram (ECG) interpretation is critical for early diagnosis of cardiac conditions, yet competency among medical interns in Ethiopia remains understudied. While an earlier study ...
In cardiac arrest, the speed and type of treatment can literally mean life or death in the immediate term, but can also affect health outcomes after successful resuscitation. During out-of-hospital ...
OAKLAND, Calif.--(BUSINESS WIRE)--Eko, a digital health company building AI-powered screening and telehealth solutions to fight cardiovascular disease, today announced that the U.S. Food and Drug ...
Cardiopulmonary resuscitation (CPR) and defibrillation are crucial life-saving techniques that can greatly influence survival rates during emergencies involving sudden cardiac arrest (SCA). The ...
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 ...
New research examined a large-scale national registry of cardiac arrest cases to measure the effects of advanced airway management (AAM) on one-month outcomes after patients survived. The deep ...
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