-
Article
Open AccessDeep learning evaluation of echocardiograms to identify occult atrial fibrillation
Atrial fibrillation (AF) often escapes detection, given its frequent paroxysmal and asymptomatic presentation. Deep learning of transthoracic echocardiograms (TTEs), which have structural information, could he...
-
Article
Open AccessDeep learning-based electrocardiographic screening for chronic kidney disease
Undiagnosed chronic kidney disease (CKD) is a common and usually asymptomatic disorder that causes a high burden of morbidity and early mortality worldwide. We developed a deep learning model for CKD screening...
-
Article
Open AccessTowards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully ex...
-
Article
Erratum: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation
Nat. Genet.; 10.1038/ng.3843; corrected online 11 May 2017 In the version of this article initially published online, the authors were incorrectly defined as members of the AFGen consortium in the author list....
-
Article
Open AccessA case report of QT prolongation with glycopyrronium bromide in a patient with chronic tamoxifen use
Glycopyrronium bromide has recently been approved as a once daily maintenance inhalation therapy for moderate to severe chronic obstructive pulmonary disease (COPD). Efficacy and safety trial data have found r...
