Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
AliveCor, the global leader in AI-powered cardiology, today announced it has received U.S. Food and Drug Administration (FDA) clearance for the next generation of KAI 12L--the AI powering the Kardia ...
The MarketWatch News Department was not involved in the creation of this content. Company to present four studies, including a late-breaking featured science presentation, and host interactive ...
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AI ECG better detects severe heart attacks in emergency setting, and have fewer false positives
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 ...
AI-enhanced echocardiograms, like EchoNext, outperform cardiologists in detecting structural heart disease with higher accuracy and speed. EchoNext was trained on over 1.2 million ECG-echocardiogram ...
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 ...
An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...
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