AIMC Topic: Hypertrophy, Left Ventricular
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Epistasis regulates genetic control of cardiac hypertrophy.
Nature cardiovascular research
Jun 5, 2025
Although genetic variant effects often interact nonadditively, strategies to uncover epistasis remain in their infancy. Here we develop low-signal signed iterative random forests to elucidate the complex genetic architecture of cardiac hypertrophy, u...
Genetic Predisposition to Disease
Magnetic Resonance Imaging
Receptor, IGF Type 1
Deep Learning
Genome-Wide Association Study
Gene Regulatory Networks
Hypertrophy, Left Ventricular
Epistasis, Genetic
Induced Pluripotent Stem Cells
Connectin
Heart Failure
Ventricular Remodeling
Myocytes, Cardiac
Humans
Aged
Phenotype
Male
Female
Middle Aged
Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation.
Circulation. Cardiovascular imaging
Mar 27, 2025
BACKGROUND: While echocardiography is pivotal for detecting left ventricular hypertrophy (LVH), it struggles with etiology differentiation. To enhance LVH assessment, we aimed to develop an artificial intelligence algorithm using echocardiography-bas...
Artificial intelligence for left ventricular hypertrophy detection and differentiation on echocardiography, cardiac magnetic resonance and cardiac computed tomography: A systematic review.
International journal of cardiology
Jan 10, 2025
AIMS: Left ventricular hypertrophy (LVH) is a common clinical finding associated with adverse cardiovascular outcomes. Once LVH is diagnosed, defining its cause has crucial clinical implications. Artificial intelligence (AI) may allow significant pro...
A machine learning prediction model for Cardiac Amyloidosis using routine blood tests in patients with left ventricular hypertrophy.
Scientific reports
Nov 19, 2024
Current approaches for cardiac amyloidosis (CA) identification are time-consuming, labor-intensive, and present challenges in sensitivity and accuracy, leading to limited treatment efficacy and poor prognosis for patients. In this retrospective study...
Revolutionizing LVH detection using artificial intelligence: the AI heartbeat project.
Journal of hypertension
Oct 7, 2024
Many studies have shown the utility and promise of artificial intelligence (AI), for the diagnosis of left ventricular hypertrophy (LVH). The aim of the present study was to conduct a meta-analysis to compare the accuracy of AI tools to electrocardio...
Diagnostic accuracy of artificial intelligence in detecting left ventricular hypertrophy by electrocardiograph: a systematic review and meta-analysis.
Scientific reports
Jul 10, 2024
Several studies suggested the utility of artificial intelligence (AI) in screening left ventricular hypertrophy (LVH). We hence conducted systematic review and meta-analysis comparing diagnostic accuracy of AI to Sokolow-Lyon's and Cornell's criteria...
Enhanced classification of left ventricular hypertrophy in cardiac patients using extended Siamese CNN.
Physics in medicine and biology
Jul 2, 2024
Left ventricular hypertrophy (LVH) is the thickening of the left ventricle wall of the heart. The objective of this study is to develop a novel approach for the accurate assessment of LVH) severity, addressing the limitations of traditional manual gr...
Identification of immune-related genes and small-molecule drugs in hypertension-induced left ventricular hypertrophy based on machine learning algorithms and molecular docking.
Frontiers in immunology
Jun 27, 2024
BACKGROUND: Left ventricular hypertrophy (LVH) is a common consequence of hypertension and can lead to heart failure. The immune response plays an important role in hypertensive LVH; however, there is no comprehensive method to investigate the mechan...
Pulse wave signal-driven machine learning for identifying left ventricular enlargement in heart failure patients.
Biomedical engineering online
Jun 22, 2024
BACKGROUND: Left ventricular enlargement (LVE) is a common manifestation of cardiac remodeling that is closely associated with cardiac dysfunction, heart failure (HF), and arrhythmias. This study aimed to propose a machine learning (ML)-based strateg...
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.
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