Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

Abstract: Convolutional Neural Networks (CNNs) have become a dominant solution for Electrocardiogram (ECG) beat classification, owing to their superior feature extraction capabilities. However, ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Liver cirrhosis represents the end stage of advanced chronic liver disease, which affects an estimated 2–5% of the general population. Rising rates of obesity, type 2 diabetes, high blood pressure, ...

The 29-year-old woman who created the “MyBoyfriendIsAI” community on Reddit isn’t dating (or sexting) her A.I. boyfriend anymore. She found something more fulfilling. By Kashmir Hill Kashmir Hill is a ...

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at University of Michigan, according to a recent study. Researchers trained the ...

Rising rates of heart rhythm problems are colliding with an aging population and crowded hospitals. At the same time, many people still rely on bulky monitors and sticky disposable patches to track ...