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 ...
A 70-year-old man with a history of chronic obstructive pulmonary disease (COPD), treated with inhalers, presents to his pulmonologist with worsening shortness of breath which he thinks is related to ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
The correct diagnosis is wandering atrial pacemaker/multifocal atrial rhythm (Figure 2). The rhythm is irregularly irregular at a rate of 90 beats/min. The QRS complexes are narrow with a normal axis, ...
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...
The natriuretic peptides, specifically brain natriuretic peptide (BNP), are the most specific and applicable laboratory tests available to establish fluid overload associated with HF. 9 BNP is ...
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