AIMC Topic: Stroke Volume

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Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements.

JACC. Cardiovascular imaging Nov 18, 2020
OBJECTIVES: The aim of this study was to develop an artificial intelligence tool to assess echocardiographic image quality objectively.
Artificial Intelligence Reproducibility of Results Ventricular Function, Left Stroke Volume Predictive Value of Tests Magnetic Resonance Imaging, Cine Humans
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A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF.

The international journal of cardiovascular imaging Oct 8, 2020
Left ventricular ejection fraction (LVEF) is the most important parameter in the assessment of cardiac function. A machine-learning algorithm was trained to guide ultrasound-novices to acquire diagnostic echocardiography images. The artificial intell...
Students, Medical Male Ventricular Function, Left Stroke Volume Echocardiography Humans Middle Aged Pilot Projects Machine Learning Clinical Competence Female Predictive Value of Tests Reproducibility of Results Heart Diseases Aged Image Interpretation, Computer-Assisted Adult
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Prediction of Sudden Cardiac Death Risk with a Support Vector Machine Based on Heart Rate Variability and Heartprint Indices.

Sensors (Basel, Switzerland) Sep 25, 2020
Most methods for sudden cardiac death (SCD) prediction require long-term (24 h) electrocardiogram recordings to measure heart rate variability (HRV) indices or premature ventricular complex indices (with the heartprint method). This work aimed to ide...
Female Humans Aged Middle Aged Male Electrocardiography Ventricular Function, Left Stroke Volume Support Vector Machine Heart Rate Death, Sudden, Cardiac
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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...
Heart Failure Valsartan Stroke Volume Patient Readmission Humans Severity of Illness Index Ventricular Dysfunction, Left Hypertension Aminobutyrates Prognosis Biphenyl Compounds Treatment Outcome Female Clinical Studies as Topic Drug Combinations Aged Chronic Disease Male
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Automated quantification of myocardial tissue characteristics from native T mapping using neural networks with uncertainty-based quality-control.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 20, 2020
BACKGROUND: Tissue characterisation with cardiovascular magnetic resonance (CMR) parametric mapping has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by late gadolinium enhancement. Nat...
Quality Control Image Interpretation, Computer-Assisted Automation Cardiomyopathies Uncertainty Stroke Volume Case-Control Studies Magnetic Resonance Imaging Humans Predictive Value of Tests Bayes Theorem Neural Networks, Computer Myocardium Reproducibility of Results Ventricular Function, Left
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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...
Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Deep Learning Cluster Analysis Aged, 80 and over Male Ventricular Function, Left Stroke Volume Echocardiography Natriuretic Peptide, Brain Asymptomatic Diseases Diastole Unsupervised Machine Learning Predictive Value of Tests Peptide Fragments Heart Failure Ventricular Dysfunction, Left Humans Biomarkers Retrospective Studies Female Risk Factors Aged
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Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

The British journal of radiology Aug 12, 2020
The aim of this review is to provide an overview of different functional cardiac CT techniques which can be used to supplement assessment of the coronary arteries to establish the significance of coronary artery stenoses. We focus on cine-CT, CT-FFR,...
Humans Machine Learning Tomography, X-Ray Computed Vascular Calcification Ventricular Function, Left Computed Tomography Angiography Stroke Volume Myocardial Perfusion Imaging Coronary Angiography Coronary Stenosis Coronary Artery Disease Fractional Flow Reserve, Myocardial Clinical Trials as Topic
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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 ...
Stroke Volume Middle Aged Cardiology Service, Hospital Diagnosis, Computer-Assisted Emergency Medical Services Electrocardiography Retrospective Studies Predictive Value of Tests Signal Processing, Computer-Assisted Female Humans Dyspnea Reproducibility of Results Ventricular Dysfunction, Left Artificial Intelligence Aged Heart Failure, Systolic Male Systole Ventricular Function, Left
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Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant nonresponse rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch b...
Disease Progression Diagnosis, Computer-Assisted Time Factors Electrocardiography Treatment Outcome Unsupervised Machine Learning Heart-Assist Devices Recovery of Function Heart Transplantation Predictive Value of Tests Bundle-Branch Block Aged Signal Processing, Computer-Assisted Heart Failure Male Cardiac Resynchronization Therapy Humans Ventricular Function, Left Stroke Volume Retrospective Studies Middle Aged Female Risk Assessment Risk Factors
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Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Circulation. Arrhythmia and electrophysiology Mar 18, 2020
BACKGROUND: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VAs). We sought to assess the utility of a novel machine learning approach for quantifying 3-...
Death, Sudden, Cardiac Contrast Media Female Stroke Volume Arrhythmias, Cardiac Risk Factors Humans Magnetic Resonance Imaging Middle Aged Heart Rate Aged Action Potentials Machine Learning Risk Assessment Myocardial Ischemia Male Predictive Value of Tests Prognosis Diagnosis, Computer-Assisted Cardiomyopathies Ventricular Function, Left Registries Imaging, Three-Dimensional Retrospective Studies Fourier Analysis United States Gadolinium DTPA
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