Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
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New AI model accurately identifies which atrial fibrillation patients need blood thinners to prevent stroke
Mount Sinai researchers developed an AI model to make individualized treatment recommendations for atrial fibrillation (AF) patients—helping clinicians accurately decide whether or not to treat them ...
First introduced five decades ago, MRI scanners are now a cornerstone of modern medicine, vital for diagnosing strokes, tumors, spinal conditions and more, without ...
Subclinical atrial fibrillation is short-lasting and asymptomatic and can usually be detected only by long-term continuous monitoring with pacemakers or defibrillators. Subclinical atrial fibrillation ...
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