6 Result(s)
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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...
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Article
Kidney function monitoring and trajectories in patients with atrial fibrillation
Atrial fibrillation (AF) and chronic kidney disease (CKD) frequently co-exist. The frequency of kidney monitoring and range of kidney function in patients with AF in clinical practice are uncertain.
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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...
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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...
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Article
Atomoxetine for suppression of vasovagal syncope
Vasovagal syncope (VVS) is a common clinical condition with few effective medical therapies. The study aimed to evaluate the effectiveness of atomoxetine in suppressing syncope in patients with recurrent VVS.
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Article
Rational patient selection for catheter ablation of atrial fibrillation
During the past decade, catheter ablation of atrial fibrillation has been progressively used for the treatment of drug-refractory patients. As experience and technique have evolved, patient selection criteria ...
