AIMC Topic: Ventricular Dysfunction, Left

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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...
Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Neoplasms Reproducibility of Results Aged Aged, 80 and over Male Image Interpretation, Computer-Assisted Observer Variation Cardiotoxicity Antineoplastic Agents Predictive Value of Tests Heart Ventricles Ventricular Remodeling Ventricular Dysfunction, Left Humans Artificial Intelligence Retrospective Studies Female
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AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction.

Scientific reports Jul 17, 2024
Electrocardiogram (ECG) changes after primary percutaneous coronary intervention (PCI) in ST-segment elevation myocardial infarction (STEMI) patients are associated with prognosis. This study investigated the feasibility of predicting left ventricula...
Humans Artificial Intelligence Male Ventricular Dysfunction, Left Middle Aged Electrocardiography ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Algorithms Prognosis Female Aged
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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...
Biomechanical Phenomena Male Ventricular Function, Left Risk Assessment Heart Defects, Congenital Predictive Value of Tests Time Factors Humans Adolescent Ventricular Dysfunction, Left Child Female Phenotype Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Treatment Outcome Risk Factors Myocardial Contraction Retrospective Studies Heart Transplantation Cluster Analysis Young Adult Fontan Procedure Unsupervised Machine Learning Adult
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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.
Myocardial Contraction Global Longitudinal Strain Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Datasets as Topic Humans Observer Variation Neural Networks, Computer United Kingdom Machine Learning Reproducibility of Results Biomechanical Phenomena Ventricular Function, Left Echocardiography Consensus Predictive Value of Tests
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Multicenter validation study for automated left ventricular ejection fraction assessment using a handheld ultrasound with artificial intelligence.

Scientific reports Jul 4, 2024
We sought to validate the ability of a novel handheld ultrasound device with an artificial intelligence program (AI-POCUS) that automatically assesses left ventricular ejection fraction (LVEF). AI-POCUS was used to prospectively scan 200 patients in ...
Humans Artificial Intelligence Prospective Studies Echocardiography Female Aged Male Ventricular Function, Left Stroke Volume Middle Aged Ultrasonography Heart Ventricles Ventricular Dysfunction, Left
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Machine learning predictions of the adverse events of different treatments in patients with ischemic left ventricular systolic dysfunction.

Internal and emergency medicine Jun 14, 2024
This study aimed to develop several new machine learning models based on hibernating myocardium to predict the major adverse cardiac events(MACE) of ischemic left ventricular systolic dysfunction(LVSD) patients receiving either percutaneous coronary ...
Aged Male Middle Aged ROC Curve Percutaneous Coronary Intervention Ventricular Dysfunction, Left Humans Machine Learning Retrospective Studies Female
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Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence Compared to Human Readers.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Mar 30, 2024
BACKGROUND: Although regional wall motion abnormality (RWMA) detection is foundational to transthoracic echocardiography, current methods are prone to interobserver variability. We aimed to develop a deep learning (DL) model for RWMA assessment and c...
Observer Variation Middle Aged Humans Deep Learning Artificial Intelligence Ventricular Dysfunction, Left Female Image Interpretation, Computer-Assisted Reproducibility of Results Aged Male Echocardiography
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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...
Humans Blood Flow Velocity Female Diastole Ventricular Dysfunction, Left Reproducibility of Results Deep Learning Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Aged Chronic Disease Automation Male Predictive Value of Tests Myocardial Ischemia Ventricular Function, Left Mitral Valve Echocardiography, Doppler Middle Aged
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Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling.

Circulation Feb 5, 2024
BACKGROUND: Artificial intelligence-enhanced ECG analysis shows promise to detect ventricular dysfunction and remodeling in adult populations. However, its application to pediatric populations remains underexplored.
Electrocardiography Ventricular Dysfunction, Left Hypertrophy, Left Ventricular Artificial Intelligence Adult Deep Learning Child, Preschool Child Humans
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Opportunistic Screening for Asymptomatic Left Ventricular Dysfunction With the Use of Electrocardiographic Artificial Intelligence: A Cost-Effectiveness Approach.

The Canadian journal of cardiology Dec 11, 2023
BACKGROUND: The burden of asymptomatic left ventricular dysfunction (LVD) is greater than that of heart failure; however, a cost-effective tool for asymptomatic LVD screening has not been well validated. We aimed to prospectively validate an artifici...
ROC Curve Female Electrocardiography Humans Ventricular Dysfunction, Left Mass Screening Aged Artificial Intelligence Asymptomatic Diseases Taiwan Male Algorithms Middle Aged Cost-Benefit Analysis Prospective Studies Risk Assessment
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