AIMC Topic: Cardiomyopathy, Hypertrophic

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Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy.

Scientific reports Apr 29, 2025
This study looked at possible targets for hypertrophic cardiomyopathy (HCM), a condition marked by thickening of the ventricular wall, primarily in the left ventricle. We employed differential gene analysis and weighted gene co-expression network ana...
Humans Machine Learning Animals Gene Regulatory Networks Disease Models, Animal Mitochondria Cardiomyopathy, Hypertrophic Molecular Docking Simulation Gene Expression Profiling Transcriptome Protein Interaction Maps
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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...
Algorithms Female Aged Radiomics Humans Artificial Intelligence Diagnosis, Differential Predictive Value of Tests Cardiomyopathy, Hypertrophic Amyloidosis Hypertrophy, Left Ventricular Male Ventricular Function, Left Echocardiography Middle Aged
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A systematic review and meta-analysis on the performance of convolutional neural networks ECGs in the diagnosis of hypertrophic cardiomyopathy.

Journal of electrocardiology Jan 27, 2025
INTRODUCTION: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in younger individuals. Accurate diagnosis is crucial for management and improving patient outcomes. The application of convolutional Neural Networks (CNN), a ...
Cardiomyopathy, Hypertrophic Neural Networks, Computer Sensitivity and Specificity Convolutional Neural Networks Electrocardiography Humans
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Detection of late gadolinium enhancement in patients with hypertrophic cardiomyopathy using machine learning.

International journal of cardiology Dec 18, 2024
BACKGROUND: Late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) in hypertrophic cardiomyopathy (HCM) typically represents myocardial fibrosis and may lead to fatal ventricular arrhythmias. However, CMR is resource-intensive and some...
Cardiomyopathy, Hypertrophic Gadolinium Magnetic Resonance Imaging, Cine Humans Adult Machine Learning Middle Aged Retrospective Studies Male Female Cohort Studies Aged Contrast Media
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Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using machine learning.

European journal of heart failure Dec 18, 2024
AIMS: Atrial fibrillation (AF) is the most common sustained arrhythmia among patients with hypertrophic cardiomyopathy (HCM), leading to increased symptom burden and risk of thromboembolism. The HCM-AF score was developed to predict new-onset AF in p...
Aged Male Middle Aged Risk Assessment ROC Curve Follow-Up Studies Atrial Fibrillation Cardiomyopathy, Hypertrophic Machine Learning Prospective Studies Female Risk Factors Humans
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Leveraging a Vision Transformer Model to Improve Diagnostic Accuracy of Cardiac Amyloidosis With Cardiac Magnetic Resonance.

JACC. Cardiovascular imaging Dec 4, 2024
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is an important diagnostic tool for diagnosis of cardiac amyloidosis (CA). However, discrimination of CA from other etiologies of myocardial disease can be challenging.
Magnetic Resonance Imaging, Cine Deep Learning Contrast Media Diagnosis, Differential Predictive Value of Tests Cardiomyopathy, Hypertrophic Reproducibility of Results Amyloidosis Cardiomyopathies Humans Aged Myocardium Decision Support Techniques Male Image Interpretation, Computer-Assisted Retrospective Studies Middle Aged Female
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A Multicenter Evaluation of the Impact of Therapies on Deep Learning-Based Electrocardiographic Hypertrophic Cardiomyopathy Markers.

The American journal of cardiology Nov 23, 2024
Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopathy (HCM) on 12-lead ECGs and offers a novel way to monitor treatment response. Although the surgical or percutaneous reduction of the interventricular...
Deep Learning Electrocardiography Cardiomyopathy, Hypertrophic Female Aged Humans Male Middle Aged
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Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI.

Journal of magnetic resonance imaging : JMRI Oct 1, 2024
BACKGROUND: Automated approaches may allow for fast, reproducible clinical assessment of cardiovascular diseases from MRI.
Humans Middle Aged Magnetic Resonance Imaging, Cine Aged Algorithms Cardiomyopathy, Dilated Heart Ventricles Deep Learning Adult Retrospective Studies Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Sensitivity and Specificity Female Heart Cardiomyopathy, Hypertrophic Male Reproducibility of Results Myocardial Ischemia
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Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis.

Acta radiologica (Stockholm, Sweden : 1987) Oct 1, 2024
BACKGROUND: Myocardial fibrosis is often detected in patients with hypertrophic cardiomyopathy (HCM), which causes left ventricular (LV) dysfunction and tachyarrhythmias.
Middle Aged Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Cardiomyopathy, Hypertrophic Tachycardia, Ventricular Magnetic Resonance Imaging, Cine Female Adult Radiomics Male Humans Machine Learning Retrospective Studies
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Artificial intelligence-driven electrocardiography: Innovations in hypertrophic cardiomyopathy management.

Trends in cardiovascular medicine Aug 13, 2024
Hypertrophic Cardiomyopathy (HCM) presents a complex diagnostic and prognostic challenge due to its heterogeneous phenotype and clinical course. Artificial Intelligence (AI) and Machine Learning (ML) techniques hold promise in transforming the role o...
Electrocardiography Risk Factors Humans Action Potentials Risk Assessment Heart Rate Artificial Intelligence Predictive Value of Tests Diagnosis, Computer-Assisted Cardiomyopathy, Hypertrophic Prognosis Signal Processing, Computer-Assisted Deep Learning Death, Sudden, Cardiac Clinical Decision-Making
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