Through a deep-learning model, researchers have shown that ordinary ECG images can be leveraged to identify patients with an LV ejection fraction below 40%. Their approach also appears able to ...
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, ...
Heart disease remains the leading cause of death worldwide, and although electrocardiography (ECG) is critical for diagnosis, interpreting ECG signals requires extensive training. Current machine ...
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