AIMC Topic: Ventricular Function, Left

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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Deep Learning Time Factors United States Calcinosis Aortic Valve Stenosis Echocardiography Middle Aged Risk Assessment Disease Progression Severity of Illness Index Aortic Valve Predictive Value of Tests Ventricular Dysfunction, Left Diastole Sclerosis Humans Prognosis Female Reproducibility of Results Risk Factors Aged Male Ventricular Function, Left
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Physiological control for left ventricular assist devices based on deep reinforcement learning.

Artificial organs Sep 17, 2024
BACKGROUND: The improvement of controllers of left ventricular assist device (LVAD) technology supporting heart failure (HF) patients has enormous impact, given the high prevalence and mortality of HF in the population. The use of reinforcement learn...
Humans Algorithms Computer Simulation Ventricular Function, Left Hemodynamics Deep Learning Heart Failure Heart-Assist Devices Models, Cardiovascular
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Automated biventricular quantification in patients with repaired tetralogy of Fallot using a three-dimensional deep learning segmentation model.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 11, 2024
BACKGROUND: Deep learning is the state-of-the-art approach for automated segmentation of the left ventricle (LV) and right ventricle (RV) in cardiovascular magnetic resonance (CMR) images. However, these models have been mostly trained and validated ...
Adolescent Magnetic Resonance Imaging, Cine Child Young Adult Ventricular Function, Right Imaging, Three-Dimensional Cardiac Surgical Procedures Humans Adult Treatment Outcome Heart Ventricles Databases, Factual Male Predictive Value of Tests Image Interpretation, Computer-Assisted Retrospective Studies Ventricular Function, Left Automation Female Deep Learning Tetralogy of Fallot Reproducibility of Results
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Rule-based natural language processing to examine variation in worsening heart failure hospitalizations by age, sex, race and ethnicity, and left ventricular ejection fraction.

American heart journal Sep 7, 2024
BACKGROUND: Prior studies characterizing worsening heart failure events (WHFE) have been limited in using structured healthcare data from hospitalizations, and with little exploration of sociodemographic variation. The current study examined the impa...
Racial Groups Ventricular Function, Left Stroke Volume Middle Aged Disease Progression Age Factors Natural Language Processing Heart Failure Ethnicity Sex Factors California Hospitalization Aged Aged, 80 and over Adult Humans Male Female
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Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.

Circulation. Cardiovascular quality and outcomes Sep 2, 2024
BACKGROUND: Risk stratification strategies for cancer therapeutics-related cardiac dysfunction (CTRCD) rely on serial monitoring by specialized imaging, limiting their scalability. We aimed to examine an application of artificial intelligence (AI) to...
Risk Factors Aged Male Ventricular Function, Left Stroke Volume Humans Middle Aged Artificial Intelligence Electrocardiography Risk Assessment Retrospective Studies Trastuzumab Predictive Value of Tests Antineoplastic Agents Female Cardiotoxicity Ventricular Dysfunction, Left Time Factors Anthracyclines United States
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Automated echocardiographic diastolic function grading: A hybrid multi-task deep learning and machine learning approach.

International journal of cardiology Aug 30, 2024
BACKGROUND: Assessing left ventricular diastolic function (LVDF) with echocardiography as per ASE guidelines is tedious and time-consuming. The study aims to develop a fully automatic approach of this procedure by a lightweight hybrid algorithm combi...
Deep Learning Diastole Male Ventricular Function, Left Stroke Volume Humans Echocardiography Machine Learning Middle Aged Algorithms Female Aged
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EFNet: A multitask deep learning network for simultaneous quantification of left ventricle structure and function.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 28, 2024
PURPOSE: The purpose of this study is to develop an automated method using deep learning for the reliable and precise quantification of left ventricle structure and function from echocardiogram videos, eliminating the need to identify end-systolic an...
Humans Ventricular Function, Left Echocardiography Deep Learning Image Processing, Computer-Assisted Heart Ventricles
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Assessment of left ventricular wall thickness and dimension: accuracy of a deep learning model with prediction uncertainty.

The international journal of cardiovascular imaging Aug 10, 2024
Left ventricular (LV) geometric patterns aid clinicians in the diagnosis and prognostication of various cardiomyopathies. The aim of this study is to assess the accuracy and reproducibility of LV dimensions and wall thickness using deep learning (DL)...
Models, Cardiovascular Uncertainty Deep Learning Predictive Value of Tests Anatomic Landmarks Heart Ventricles Image Interpretation, Computer-Assisted Humans Aged Female Male Reproducibility of Results Ventricular Function, Left Echocardiography Middle Aged
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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 28, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) t...
Reproducibility of Results Aged Adult Male Ventricular Function, Left Humans Prospective Studies Female Heart Ventricles Stroke Volume Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Middle Aged Ventricular Function, Right Observer Variation Deep Learning Time Factors Predictive Value of Tests
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Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

The international journal of cardiovascular imaging Jul 23, 2024
Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based...
Middle Aged Neoplasms Antineoplastic Agents Predictive Value of Tests Heart Ventricles Ventricular Remodeling Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Observer Variation Cardiotoxicity Aged, 80 and over Male Ventricular Function, Left Stroke Volume Echocardiography Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged Humans
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