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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest

Journal of the American Heart Association, 2018-07, Vol.7 (13)

2018

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Validation of deep-learning-based triage and acuity score using a large national dataset

PloS one, 2018-10, Vol.13 (10), p.e0205836

2018

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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

Journal of the American Heart Association, 2020-04, Vol.9 (7), p.e014717-e014717

2020

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Author Correction: Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction

Scientific reports, 2022-10, Vol.12 (1), p.1-2, Article 17191

2022

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Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction

Scientific reports, 2022-08, Vol.12 (1), p.14235-14235, Article 14235

2022

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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram

Scientific reports, 2024-10, Vol.14 (1), p.22868-9, Article 22868

2024

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Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

Scandinavian journal of trauma, resuscitation and emergency medicine, 2020-03, Vol.28 (1), p.17-17, Article 17

2020

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Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease

Journal of digital imaging, 2018-08, Vol.31 (4), p.415-424

2018

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Improving Mortality Prediction in ICU by Learning Long-Tailed Population of Patients Through Graph-Domain Aggregation

IEEE access, 2022, Vol.10, p.84405-84416

2022

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Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Journal of medical Internet research, 2021-09, Vol.23 (9), p.e31129-e31129

2021

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Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection

Journal of Korean Medical Science, 2022, 37(16), , pp.1-11

2022

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Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study

BMC pediatrics, 2023-10, Vol.23 (1), p.1-525, Article 525

2023

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Identifying top news stories based on their popularity in the blogosphere

Information retrieval (Boston), 2014-08, Vol.17 (4), p.326-350

2014

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Development and validation of a deep-learning-based pediatric early warning system: A single-center study

Biomedical Journal, 2022-02, Vol.45 (1), p.155-168

2022

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Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm

Frontiers in cardiovascular medicine, 2022-04, Vol.9, p.865852-865852

2022

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Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning

Acute and Critical Care, 2018, 33(3), , pp.117-120

2018

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Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

Acute and critical care, 2022-11, Vol.37 (4), p.654-666

2022

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An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm

Frontiers in cardiovascular medicine, 2022-07, Vol.9, p.906780-906780

2022

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Abstract 18249: Artificial Intelligence-Based Electrocardiogram Prediction for Duration of Atrial Fibrillation

Circulation (New York, N.Y.), 2023-11, Vol.148 (Suppl_1)

2023

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Abstract 14208: New Artificial Intelligence Algorithms of Electrocardiogram Detection for Patients With Heart Failure

Circulation (New York, N.Y.), 2023-11, Vol.148 (Suppl_1)

2023

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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Critical care medicine, 2020-04, Vol.48 (4), p.e285

2020

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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Critical care medicine, 2020-04, Vol.48 (4), p.e285-e289

2020

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Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record

Critical care medicine, 2020-11, Vol.48 (11), p.e1106-e1111

2020

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Speech Augmentation Using Wavenet in Speech Recognition

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.6770-6774

2019

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Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography

ASAIO journal (1992), 2021-03, Vol.67 (3), p.314-321

2021

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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest

Validation of deep-learning-based triage and acuity score using a large national dataset

Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

Author Correction: Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction

Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction

Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram

Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease

Improving Mortality Prediction in ICU by Learning Long-Tailed Population of Patients Through Graph-Domain Aggregation

Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection

Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study

Identifying top news stories based on their popularity in the blogosphere

Development and validation of a deep-learning-based pediatric early warning system: A single-center study

Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm

Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning

Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm

Abstract 18249: Artificial Intelligence-Based Electrocardiogram Prediction for Duration of Atrial Fibrillation

Abstract 14208: New Artificial Intelligence Algorithms of Electrocardiogram Detection for Patients With Heart Failure

Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record

Speech Augmentation Using Wavenet in Speech Recognition

Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography

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