AIMC Topic: Cardiomyopathy, Hypertrophic
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Mavacamten in hypertrophic obstructive cardiomyopathy: Prospects for AI integration and mitigating healthcare disparities.
Current problems in cardiology
Aug 8, 2024
Hypertrophic obstructive cardiomyopathy (HOCM) is an autosomal dominant condition that still remains significantly under-diagnosed worldwide. Early detection through clinical evaluation, imaging, and familial history is crucial to prevent severe comp...
A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine learning methods.
Scientific reports
Jul 24, 2024
Hypertrophic cardiomyopathy (HCM) may lead to cardiac dysfunction and sudden death. This study was designed to develop a HCM signature applying bioinformatics and machine learning methods. Data of HCM and normal tissues were obtained from public data...
Integrating machine learning approach to identify sleep-disordered breathing in hypertrophic cardiomyopathy.
Heart (British Cardiac Society)
Jun 25, 2024
Machine learning-based detection of sleep-disordered breathing in hypertrophic cardiomyopathy.
Heart (British Cardiac Society)
Jun 25, 2024
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is often concomitant with sleep-disordered breathing (SDB), which can cause adverse cardiovascular events. Although an appropriate approach to SDB prevents cardiac remodelling, detection of concomitant SD...
Unveiling MiRNA-124 as a biomarker in hypertrophic cardiomyopathy: An innovative approach using machine learning and intelligent data analysis.
International journal of cardiology
May 28, 2024
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a widespread hereditary cardiac pathology characterized by thickened heart walls and rearrangement of cardiomyocytes. Despite extensive research, the mechanisms underlying HCM development remain poorly...
Machine learning-driven diagnostic signature provides new insights in clinical management of hypertrophic cardiomyopathy.
ESC heart failure
Apr 17, 2024
AIMS: In an era of evolving diagnostic possibilities, existing diagnostic systems are not fully sufficient to promptly recognize patients with early-stage hypertrophic cardiomyopathy (HCM) without symptomatic and instrumental features. Considering th...
Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular setting.
Heart and vessels
Mar 30, 2024
The efficacy of convolutional neural network (CNN)-enhanced electrocardiography (ECG) in detecting hypertrophic cardiomyopathy (HCM) and dilated HCM (dHCM) remains uncertain in real-world applications. This retrospective study analyzed data from 19,1...
Electrocardiography deep learning models to predict high-risk imaging features in patients with hypertrophic cardiomyopathy: Can it change clinical practice?
Heart rhythm
Feb 15, 2024
Estimating the risk of sudden death in hypertrophic cardiomyopathy might be solved by artificial intelligence.
International journal of cardiology
Feb 13, 2024
Identification of high-risk imaging features in hypertrophic cardiomyopathy using electrocardiography: A deep-learning approach.
Heart rhythm
Jan 26, 2024
BACKGROUND: Patients with hypertrophic cardiomyopathy (HCM) are at risk of sudden death, and individuals with ≥1 major risk markers are considered for primary prevention implantable cardioverter-defibrillators. Guidelines recommend cardiac magnetic r...
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