AIMC Topic: Ventricular Dysfunction, Left

Clear Filters Showing 41 to 50 of 80 articles

AI-based detection of reduced ejection fraction from the electrocardiogram: Is the future here already?

International journal of cardiology Jan 28, 2021
Intensive Care Units Stroke Volume Electrocardiography Ventricular Dysfunction, Left Humans Artificial Intelligence
View on PubMed DOI

External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction.

International journal of cardiology Jan 2, 2021
OBJECTIVE: To validate a novel artificial-intelligence electrocardiogram algorithm (AI-ECG) to detect left ventricular systolic dysfunction (LVSD) in an external population.
Humans Middle Aged Deep Learning Aged Electrocardiography Adult Ventricular Dysfunction, Left Cross-Sectional Studies Russia Ventricular Function, Left Stroke Volume
View on PubMed DOI

Left ventricular systolic dysfunction identification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients.

International journal of cardiology Nov 2, 2020
BACKGROUND: An artificial intelligence-augmented electrocardiogram (AI-ECG) can identify left ventricular systolic dysfunction (LVSD). We examined the accuracy of AI ECG for identification of LVSD (defined as LVEF ≤40% by transthoracic echocardiogram...
Middle Aged Electrocardiography Ventricular Dysfunction, Left Humans Artificial Intelligence Female Intensive Care Units Aged Aged, 80 and over Male Echocardiography
View on PubMed DOI

Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.

Mayo Clinic proceedings Sep 19, 2020
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide management....
Pandemics COVID-19 Retrospective Studies Female SARS-CoV-2 Humans Artificial Intelligence Betacoronavirus Pneumonia, Viral Middle Aged Electrocardiography Feasibility Studies Coronavirus Infections Ventricular Dysfunction, Left Aged Aged, 80 and over Adult Male Echocardiography
View on PubMed DOI

The role of sacubitril/valsartan in the treatment of chronic heart failure with reduced ejection fraction in hypertensive patients with comorbidities: From clinical trials to real-world settings.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Aug 21, 2020
BACKGROUND: Sacubitril/valsartan, the first agent to be approved in a new class of drugs called angiotensin receptor neprilysin inhibitors (ARNIs), has been shown to reduce cardiovascular mortality and morbidity compared to enalapril in outpatient su...
Drug Combinations Chronic Disease Male Heart Failure Humans Biphenyl Compounds Stroke Volume Patient Readmission Prognosis Clinical Studies as Topic Severity of Illness Index Aminobutyrates Female Valsartan Hypertension Aged Treatment Outcome Ventricular Dysfunction, Left
View on PubMed DOI

Identifying Phenogroups in patients with subclinical diastolic dysfunction using unsupervised statistical learning.

BMC cardiovascular disorders Aug 14, 2020
BACKGROUND: Subclinical diastolic dysfunction is a precursor for developing heart failure with preserved ejection fraction (HFpEF); yet not all patients progress to HFpEF. Our objective was to evaluate clinical and echocardiographic variables to iden...
Unsupervised Machine Learning Predictive Value of Tests Peptide Fragments Heart Failure Ventricular Dysfunction, Left Risk Assessment Disease Progression Diagnosis, Computer-Assisted Deep Learning Cluster Analysis Natriuretic Peptide, Brain Asymptomatic Diseases Diastole Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Humans Biomarkers
View on PubMed DOI

Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.

Circulation. Arrhythmia and electrophysiology Aug 4, 2020
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and diagnostic testing ...
Heart Failure, Systolic Systole Cardiology Service, Hospital Female Emergency Medical Services Reproducibility of Results Signal Processing, Computer-Assisted Aged Dyspnea Male Ventricular Dysfunction, Left Ventricular Function, Left Stroke Volume Humans Middle Aged Artificial Intelligence Diagnosis, Computer-Assisted Retrospective Studies Electrocardiography Predictive Value of Tests
View on PubMed DOI

A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

Journal of healthcare engineering Jul 30, 2020
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with tra...
Ventricular Dysfunction, Left Adult Coronary Angiography ROC Curve Machine Learning Percutaneous Coronary Intervention Humans Imaging, Three-Dimensional Female Myocardial Infarction Models, Statistical Reproducibility of Results Sensitivity and Specificity Heart Ventricles Predictive Value of Tests Risk Factors Male Ventricular Remodeling Area Under Curve Aged Echocardiography Middle Aged
View on PubMed DOI

Interpatient Similarities in Cardiac Function: A Platform for Personalized Cardiovascular Medicine.

JACC. Cardiovascular imaging Mar 18, 2020
OBJECTIVES: The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE)...
Retrospective Studies Female Aged Aged, 80 and over Adult Male Ventricular Function, Left Echocardiography Middle Aged Disease Progression Humans Prospective Studies Prognosis Image Interpretation, Computer-Assisted Unsupervised Machine Learning Pattern Recognition, Automated Predictive Value of Tests Registries Patient Readmission Ventricular Dysfunction, Left
View on PubMed DOI

Deep Learning for Assessment of Left Ventricular Ejection Fraction from Echocardiographic Images.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Feb 25, 2020
Deep Learning Ventricular Dysfunction, Left Humans Ventricular Function, Left Stroke Volume Echocardiography
View on PubMed DOI
Popular Topics
Recent Journals