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Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 946-966 of 6,892 articles

Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).

PURPOSE: Delayed enhancement imaging is an essential component of cardiac MRI, which is used widely ...

Feb 2019 PMID: 30714197

Association Between Net Vertebral Artery Flow Volume and Non-AF Stroke: A Retrospective 2-Year Analysis.

Association between net vertebral artery flow volume (NVAFV) and stroke types remains unclear. We h...

Jan 2019 PMID: 30713522

Detecting and interpreting myocardial infarction using fully convolutional neural networks.

OBJECTIVE: We aim to provide an algorithm for the detection of myocardial infarction that operates d...

Jan 2019 PMID: 30523982

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workfl...

Jan 2019 PMID: 30617320

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is as...

Jan 2019 PMID: 30617318

AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning.

OBJECTIVE: The objective of this paper is to provide an algorithm for accurate, automated detection ...

Dec 2018 PMID: 30524091

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.

Abnormality of the cardiac conduction system can induce arrhythmia - abnormal heart rhythm - that ca...

Dec 2018 PMID: 30599317

Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.

BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modifie...

Dec 2018 PMID: 30665522

Cardiac Troponin I: Ultrasensitive Detection Using Faradaic Electrochemical Impedance.

An electrochemical biosensor for the detection of cardiac troponin I, cTnI, an important cardiac bio...

Dec 2018 PMID: 31458332

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

BACKGROUND: The current acute kidney injury (AKI) risk prediction model for patients undergoing perc...

Nov 2018 PMID: 30481186

A Unique Case of Severe Anemia Secondary to Copper Deficiency in an Adult Patient.

Anemia is a frequently encountered problem in the healthcare system. Common causes of anemia include...

Nov 2018 PMID: 30723637

Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-Linear Methods of Machine Learning.

We have previously developed an automated localization method based on multiple linear regression (M...

Nov 2018 PMID: 30465152

A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation.

BACKGROUND: Cardiologs® has developed the first electrocardiogram (ECG) algorithm that uses a deep n...

Nov 2018 PMID: 30476648

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiograph...

Nov 2018 PMID: 30471464

Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.

Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sen...

Nov 2018 PMID: 30397730

Cardiovascular

Browse Categories

Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).

Association Between Net Vertebral Artery Flow Volume and Non-AF Stroke: A Retrospective 2-Year Analysis.

Detecting and interpreting myocardial infarction using fully convolutional neural networks.

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning.

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.

Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.

Cardiac Troponin I: Ultrasensitive Detection Using Faradaic Electrochemical Impedance.

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

A Unique Case of Severe Anemia Secondary to Copper Deficiency in an Adult Patient.

Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-Linear Methods of Machine Learning.

A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation.

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.

Ensembling convolutional and long short-term memory networks for electrocardiogram arrhythmia detection.

A Machine-Learning Approach for Detection and Quantification of QRS Fragmentation.

A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms.

ECG Signal Classification Using Various Machine Learning Techniques.

ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation.

ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network.

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