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Article
Open AccessEvaluating regression and probabilistic methods for ECG-based electrolyte prediction
Imbalances in electrolyte concentrations can have severe consequences, but accurate and accessible measurements could improve patient outcomes. The current measurement method based on blood tests is accurate b...
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Article
Open AccessDevelopment and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settings, deep learning-based models and especially convolutional deep models have shown promise in electrocardiogr...
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Article
Open AccessDeep neural network-estimated electrocardiographic age as a mortality predictor
The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular diseases. Here we propose that the age predicted by artificial intelligence (AI) from the raw ECG (ECG-age) can b...
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Article
Open AccessPublisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics
A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01922-8
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Article
Open AccessUniversal probabilistic programming offers a powerful approach to statistical phylogenetics
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have see...
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Article
The effect of interventions on COVID-19
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Article
Open AccessAuthor Correction: Automatic diagnosis of the 12-lead ECG using a deep neural network
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
Open AccessAutomatic diagnosis of the 12-lead ECG using a deep neural network
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn ...
