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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 1261-1281 of 6,892 articles

Application of Pre-Trained Deep Learning Models for Clinical ECGs.

Automatic electrocardiogram (ECG) analysis has been one of the very early use cases for computer ass...

Sep 2021 PMID: 34545818

[Sleep apnea automatic detection method based on convolutional neural network].

Sleep apnea (SA) detection method based on traditional machine learning needs a lot of efforts in fe...

Aug 2021 PMID: 34459167

Deep learning and the electrocardiogram: review of the current state-of-the-art.

In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has b...

Aug 2021 PMID: 33564873

Histograms of Frequency-Intensity Distribution Deep Learning to Predict the Seizure Liability of Drugs in Electroencephalography.

Detection of seizures as well as that of seizure auras is effective in improving the predictive accu...

Aug 2021 PMID: 34021344

More than meets the eye: Using AI to identify reduced heart function by electrocardiograms.

Electrocardiographic (ECG) assessment of patients with suspected heart disease is a bedrock of cardi...

Jul 2021 PMID: 35590216

Mortality risk stratification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients.

AIMS: An artificial intelligence-augmented electrocardiogram (AI-ECG) algorithm can identify left ve...

Jun 2021 PMID: 33620440

Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.

Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous in t...

Jun 2021 PMID: 34099565

Semantic Anomaly Detection in Medical Time Series.

The main goal of this project was to define and evaluate a new unsupervised deep learning approach t...

May 2021 PMID: 34042884

Development and validation of a machine learning model to predict mortality risk in patients with COVID-19.

New York City quickly became an epicentre of the COVID-19 pandemic. An ability to triage patients wa...

May 2021 PMID: 33962987

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

Although heart failure with reduced ejection fraction (HFrEF) is a common clinical syndrome and can ...

Mar 2021 PMID: 33627606

Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children?

Several studies show altered heart rate variability (HRV) in autism spectrum disorder (ASD), but fin...

Jan 2021 PMID: 32449059

A deep learning-based algorithm for detection of cortical arousal during sleep.

STUDY OBJECTIVES: The frequency of cortical arousals is an indicator of sleep quality. Additionally,...

Dec 2020 PMID: 32556242

A Case of Dapsone-induced Mild Methemoglobinemia with Dyspnea and Cyanosis.

Dear Editor, Dapsone is a dual-function drug with antimicrobial and antiprotozoal effects and anti-i...

Dec 2020 PMID: 33835002

Symmetric Projection Attractor Reconstruction analysis of murine electrocardiograms: Retrospective prediction of Scn5a genetic mutation attributable to Brugada syndrome.

BACKGROUND: Life-threatening arrhythmias resulting from genetic mutations are often missed in curren...

Dec 2020 PMID: 33748801

Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of internat...

Nov 2020 PMID: 32734526

Sleep staging from electrocardiography and respiration with deep learning.

STUDY OBJECTIVES: Sleep is reflected not only in the electroencephalogram but also in heart rhythms ...

Jul 2020 PMID: 31863111

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Blood infection due to different circumstances could immediately develop to an extreme body reaction...

Jul 2020 PMID: 33019253

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Blood infection due to different circumstances could immediately develop to an extreme body reaction...

Jul 2020 PMID: 33018161

Cardiovascular

Browse Categories

Application of Pre-Trained Deep Learning Models for Clinical ECGs.

[Sleep apnea automatic detection method based on convolutional neural network].

Deep learning and the electrocardiogram: review of the current state-of-the-art.

Histograms of Frequency-Intensity Distribution Deep Learning to Predict the Seizure Liability of Drugs in Electroencephalography.

More than meets the eye: Using AI to identify reduced heart function by electrocardiograms.

Mortality risk stratification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients.

Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.

Semantic Anomaly Detection in Medical Time Series.

Development and validation of a machine learning model to predict mortality risk in patients with COVID-19.

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

Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children?

A deep learning-based algorithm for detection of cortical arousal during sleep.

A Case of Dapsone-induced Mild Methemoglobinemia with Dyspnea and Cyanosis.

Symmetric Projection Attractor Reconstruction analysis of murine electrocardiograms: Retrospective prediction of Scn5a genetic mutation attributable to Brugada syndrome.

Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

Sleep staging from electrocardiography and respiration with deep learning.

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal.

Classification of Aortic Stenosis Using ECG by Deep Learning and its Analysis Using Grad-CAM.

End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences.

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

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