AIMC Topic: Echocardiography, Doppler

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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Ventricular Function, Left Stroke Volume Prevalence Severity of Illness Index Reproducibility of Results Aged Aged, 80 and over Male Image Interpretation, Computer-Assisted Humans Automation Echocardiography, Doppler Machine Learning Blood Flow Velocity Female Echocardiography, Three-Dimensional Hemodynamics Aortic Valve Stenosis Aortic Valve Predictive Value of Tests
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A deep learning-based method for assessing tricuspid regurgitation using continuous wave Doppler spectra.

Scientific reports Nov 11, 2024
Transthoracic echocardiography (TTE) is widely recognized as one of the principal modalities for diagnosing tricuspid regurgitation (TR). The diagnostic procedures associated with conventional methods are intricate and labor-intensive, with human err...
Middle Aged Severity of Illness Index Deep Learning Humans ROC Curve Female Tricuspid Valve Insufficiency Aged Echocardiography, Doppler Male
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Diastolic function assessment with four-dimensional flow cardiovascular magnetic resonance using automatic deep learning E/A ratio analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 30, 2024
BACKGROUND: Diastolic left ventricular (LV) dysfunction is a powerful contributor to the symptoms and prognosis of patients with heart failure. In patients with depressed LV systolic function, the E/A ratio, the ratio between the peak early (E) and t...
Reproducibility of Results Aged Male Ventricular Function, Left Humans Female Mitral Valve Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Automation Myocardial Ischemia Middle Aged Deep Learning Chronic Disease Predictive Value of Tests Echocardiography, Doppler Blood Flow Velocity Diastole Magnetic Resonance Imaging, Cine
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Automated mitral inflow Doppler peak velocity measurement using deep learning.

Computers in biology and medicine Feb 23, 2024
Doppler echocardiography is a widely utilised non-invasive imaging modality for assessing the functionality of heart valves, including the mitral valve. Manual assessments of Doppler traces by clinicians introduce variability, prompting the need for ...
Echocardiography, Doppler Blood Flow Velocity Deep Learning Mitral Valve Ultrasonography, Doppler
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Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Mar 22, 2023
BACKGROUND: Aortic stenosis (AS) is a common form of valvular heart disease, present in over 12% of the population age 75 years and above. Transthoracic echocardiography (TTE) is the first line of imaging in the adjudication of AS severity but is tim...
Echocardiography Middle Aged Aortic Valve Stenosis Aortic Valve Echocardiography, Doppler Humans Artificial Intelligence Aged
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The predictive value of deep learning-based cardiac ultrasound flow imaging for hypertrophic cardiomyopathy complicating arrhythmias.

European journal of medical research Jan 19, 2023
OBJECTIVE: To investigate the predictive value of deep learning-based cardiac ultrasound flow imaging for hypertrophic cardiomyopathy (HCM) complicated by arrhythmias.
Echocardiography, Doppler Retrospective Studies Deep Learning Humans Arrhythmias, Cardiac Cardiomyopathy, Hypertrophic
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Prediction of response to cardiac resynchronization therapy using a multi-feature learning method.

The international journal of cardiovascular imaging Nov 23, 2020
We hypothesized that a multiparametric evaluation, based on the combination of electrocardiographic and echocardiographic parameters, could enhance the appraisal of the likelihood of reverse remodeling and prognosis of favorable clinical evolution to...
Humans Machine Learning Decision Support Techniques Time Factors Recovery of Function Retrospective Studies Echocardiography, Doppler Electrocardiography Predictive Value of Tests Female Cardiac Resynchronization Therapy Devices Treatment Outcome Cardiac Resynchronization Therapy Signal Processing, Computer-Assisted Aged Europe Image Interpretation, Computer-Assisted Male Heart Failure Ventricular Function, Left Stroke Volume Middle Aged
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Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning.

PloS one Sep 26, 2019
The blood flow through the major vessels holds great diagnostic potential for the identification of cardiovascular complications and is therefore routinely assessed with current diagnostic modalities. Heart valves are subject to high hydrodynamic loa...
Bioprosthesis Heart Valves Heart Valve Prosthesis Echocardiography, Doppler Models, Cardiovascular Prosthesis Failure Diagnosis, Computer-Assisted Regional Blood Flow Datasets as Topic Humans Magnetic Resonance Angiography Machine Learning Hemodynamics
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Prognostic Implications of Magnetic Resonance-Derived Quantification in Asymptomatic Patients With Organic Mitral Regurgitation: Comparison With Doppler Echocardiography-Derived Integrative Approach.

Circulation Dec 21, 2017
BACKGROUND: Magnetic resonance imaging (MRI) is an accurate method for the quantitative assessment of organic mitral regurgitation (OMR). The aim of the present study was to compare the discriminative power of MRI quantification and the recommended D...
Severity of Illness Index Echocardiography, Doppler ROC Curve Magnetic Resonance Imaging Area Under Curve Aged Humans Mitral Valve Sensitivity and Specificity Prognosis Male Mitral Valve Insufficiency Middle Aged Female Proportional Hazards Models Reproducibility of Results Kaplan-Meier Estimate
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Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Medical & biological engineering & computing Nov 18, 2017
Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Impedance cardiogram (ICG) is the negative of the first derivative of the impedance signal. A technique f...
Female Aged Young Adult Adult Humans Neural Networks, Computer Algorithms Echocardiography, Doppler Cardiography, Impedance Male Stroke Volume Middle Aged Signal Processing, Computer-Assisted
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