Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Learn how ECG noise filtering that adapts to noise type improved QT and QRS accuracy and supports more reliable cardiac ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...
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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
AliveCor announced today that it received FDA clearance for the next generation of its AI technology for the Kardia 12L ECG ...
Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been ...
President Donald Trump signed an executive order Thursday to expedite the reclassification of marijuana – an effort to increase research on its medical use but not fully legalize it. “This ...
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