AIMC Topic: Cardiomyopathy, Dilated
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Artificial Intelligence-Enabled Electrocardiography to Screen Patients with Dilated Cardiomyopathy.
The American journal of cardiology
Jul 24, 2021
Undiagnosed dilated cardiomyopathy (DC) can be asymptomatic or present as sudden cardiac death, therefore pre-emptively identifying and treating patients may be beneficial. Screening for DC with echocardiography is expensive and labor intensive and s...
Deep learning-based automated left ventricular ejection fraction assessment using 2-D echocardiography.
American journal of physiology. Heart and circulatory physiology
Jun 25, 2021
Deep learning (DL) has been applied for automatic left ventricle (LV) ejection fraction (EF) measurement, but the diagnostic performance was rarely evaluated for various phenotypes of heart disease. This study aims to evaluate a new DL algorithm for ...
Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.
The international journal of cardiovascular imaging
Oct 29, 2020
The large number of available MRI sequences means patients cannot realistically undergo them all, so the range of sequences to be acquired during a scan are protocolled based on clinical details. Adapting this to unexpected findings identified early ...
Machine Learning Outcome Prediction in Dilated Cardiomyopathy Using Regional Left Ventricular Multiparametric Strain.
Annals of biomedical engineering
Oct 1, 2020
The clinical presentation of idiopathic dilated cardiomyopathy (IDCM) heart failure (HF) patients who will respond to medical therapy (responders) and those who will not (non-responders) is often similar. A machine learning (ML)-based clinical tool t...
Using machine learning to predict one-year cardiovascular events in patients with severe dilated cardiomyopathy.
European journal of radiology
Jun 11, 2019
PURPOSE: Dilated cardiomyopathy (DCM) is a common form of cardiomyopathy and it is associated with poor outcomes. A poor prognosis of DCM patients with low ejection fraction has been noted in the short-term follow-up. Machine learning (ML) could aid ...
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.
IEEE transactions on bio-medical engineering
Aug 15, 2018
OBJECTIVE: The aim of this paper is to describe an automated diagnostic pipeline that uses as input only ultrasound (US) data, but is at the same time informed by a training database of multimodal magnetic resonance (MR) and US image data.
Precision medicine applications in dilated cardiomyopathy: Advancing personalized care.
Current problems in cardiology
Jul 1, 2025
Dilated cardiomyopathy (DCM) is a prevalent cardiac disorder affecting 1 in 250-500 individuals, characterized by ventricular dilation and impaired systolic function, leading to heart failure and increased mortality, including sudden cardiac death. D...
Successful robot-assisted laparoscopic resection of pheochromocytoma in a patient with dilated cardiomyopathy: A case report on extremely high-risk anesthesia management.
Medicine
Oct 13, 2023
RATIONALE: Anesthetic management during resection of pheochromocytoma is a huge challenge, especially when accompanied by dilated cardiomyopathy (DCM). However, there is a lack of research evidence in this area.
Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.
Circulation. Cardiovascular quality and outcomes
Oct 1, 2018
Data Mining
Genetic Variation
High-Throughput Nucleotide Sequencing
Pedigree
Cardiomyopathy, Dilated
Genetic Predisposition to Disease
Humans
Reproducibility of Results
Arrhythmogenic Right Ventricular Dysplasia
Computational Biology
Machine Learning
Risk Factors
Cardiomyopathy, Hypertrophic, Familial
Predictive Value of Tests
Phenotype
Heredity
Risk Assessment
Genetic Testing
Prognosis
Texture analysis of magnetic resonance T1 mapping with dilated cardiomyopathy: A machine learning approach.
Medicine
Sep 1, 2018
The diagnosis of dilated cardiomyopathy (DCM) remains a challenge in clinical radiology. This study aimed to investigate whether texture analysis (TA) parameters on magnetic resonance T1 mapping can be helpful for the diagnosis of DCM.A total of 50 D...
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