AIMC Topic: Myocardial Contraction

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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Stroke Volume Echocardiography Middle Aged Treatment Outcome Aged Male Ventricular Function, Left Observer Variation Magnetic Resonance Imaging, Cine Myocardial Contraction Global Longitudinal Strain Predictive Value of Tests ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Image Interpretation, Computer-Assisted Humans Artificial Intelligence Female Reproducibility of Results
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Enhanced drug classification using machine learning with multiplexed cardiac contractility assays.

Pharmacological research Oct 11, 2024
Cardiac screening of newly discovered drugs remains a longstanding challenge for the pharmaceutical industry. While therapeutic efficacy and cardiotoxicity are evaluated through preclinical biochemical and animal testing, 90 % of lead compounds fail ...
Drug Evaluation, Preclinical Humans Myocytes, Cardiac Machine Learning Tissue Engineering Cells, Cultured Myocardial Contraction
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Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach.

Artificial intelligence in medicine Oct 10, 2024
Physics-based computer models based on numerical solutions of the governing equations generally cannot make rapid predictions, which in turn limits their applications in the clinic. To address this issue, we developed a physics-informed neural networ...
Humans Neural Networks, Computer Computer Simulation Myocardial Contraction Ventricular Function, Left Heart Ventricles Models, Cardiovascular
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Soft robotic artificial left ventricle simulator capable of reproducing myocardial biomechanics.

Science robotics Sep 25, 2024
The heart's intricate myocardial architecture has been called the Gordian knot of anatomy, an impossible tangle of intricate muscle fibers. This complexity dictates equally complex cardiac motions that are difficult to mimic in physical systems. If t...
Robotics Myocardial Contraction Myocardium Heart Ventricles Heart-Assist Devices Biomimetic Materials
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Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.

IEEE journal of biomedical and health informatics Aug 6, 2024
Global single-valued biomarkers, such as ejection fraction, are widely used in clinical practice to assess cardiac function. However, they only approximate the heart's true 3D deformation process, thus limiting diagnostic accuracy and the understandi...
Heart Models, Cardiovascular Myocardial Contraction Male Deep Learning Imaging, Three-Dimensional Humans
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Identifying high-risk Fontan phenotypes using K-means clustering of cardiac magnetic resonance-based dyssynchrony metrics.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 14, 2024
BACKGROUND: Individuals with a Fontan circulation encompass a heterogeneous group with adverse outcomes linked to ventricular dilation, dysfunction, and dyssynchrony. The purpose of this study was to assess if unsupervised machine learning cluster an...
Phenotype Magnetic Resonance Imaging, Cine Adolescent Retrospective Studies Myocardial Contraction Time Factors Female Child Risk Factors Treatment Outcome Young Adult Male Humans Image Interpretation, Computer-Assisted Adult Cluster Analysis Ventricular Function, Left Heart Transplantation Biomechanical Phenomena Risk Assessment Unsupervised Machine Learning Fontan Procedure Predictive Value of Tests Heart Defects, Congenital Ventricular Dysfunction, Left
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2-Dimensional Echocardiographic Global Longitudinal Strain With Artificial Intelligence Using Open Data From a UK-Wide Collaborative.

JACC. Cardiovascular imaging Jul 10, 2024
BACKGROUND: Global longitudinal strain (GLS) is reported to be more reproducible and prognostic than ejection fraction. Automated, transparent methods may increase trust and uptake.
Image Interpretation, Computer-Assisted Datasets as Topic Observer Variation United Kingdom Myocardial Contraction Global Longitudinal Strain Echocardiography Humans Consensus Reproducibility of Results Neural Networks, Computer Predictive Value of Tests Biomechanical Phenomena Machine Learning Ventricular Dysfunction, Left Ventricular Function, Left
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The Road to Robust and Automated Strain Measurements in Echocardiography by Deep Learning.

JACC. Cardiovascular imaging Apr 10, 2024
Deep Learning Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Myocardial Contraction Humans Reproducibility of Results Ventricular Function, Left Echocardiography
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Deep Learning-Derived Myocardial Strain.

JACC. Cardiovascular imaging Mar 27, 2024
BACKGROUND: Echocardiographic strain measurements require extensive operator experience and have significant intervendor variability. Creating an automated, open-source, vendor-agnostic method to retrospectively measure global longitudinal strain (GL...
Biomechanical Phenomena Male Ventricular Function, Left Echocardiography Middle Aged Deep Learning Predictive Value of Tests Image Interpretation, Computer-Assisted Retrospective Studies Female Reproducibility of Results Aged Observer Variation Humans Automation Myocardial Contraction
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Deep learning-based framework for cardiac function assessment in embryonic zebrafish from heart beating videos.

Computers in biology and medicine Jun 11, 2021
Zebrafish is a powerful and widely-used model system for a host of biological investigations, including cardiovascular studies and genetic screening. Zebrafish are readily assessable during developmental stages; however, the current methods for quant...
Cardiovascular System Cardiomyopathies Myocardial Contraction Animals Deep Learning Zebrafish
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