AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Heart Ventricles

Showing 181 to 190 of 236 articles

Clear Filters

Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
This work presents a novel analysis methodology that utilises high-resolution, multi-dimensional information to better classify regions of the left ventricle after myocardial infarction. Specifically, the focus is to determine degree of infarction in...

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
BACKGROUND: Stress testing helps diagnose heart failure with preserved ejection fraction (HFpEF), but there are no established criteria for quantifying left ventricular (LV) functional reserve. The aim of this study was to investigate whether compreh...

Neural multi-atlas label fusion: Application to cardiac MR images.

Medical image analysis
Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of methods, i.e., atlas selection and label fusion. In this paper, we propose a...

3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation.

IEEE transactions on medical imaging
We propose a method based on deep learning to perform cardiac segmentation on short axis Magnetic resonance imaging stacks iteratively from the top slice (around the base) to the bottom slice (around the apex). At each iteration, a novel variant of t...

Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks.

BMC bioinformatics
BACKGROUND: Blockage of some ion channels and in particular, the hERG (human Ether-a'-go-go-Related Gene) cardiac potassium channel delays cardiac repolarization and can induce arrhythmia. In some cases it leads to a potentially life-threatening arrh...

Sacubitril/Valsartan in an Elderly Patient with Heart Failure: A Case Report.

Cardiology
Sacubitril/valsartan has recently been approved for the treatment of heart failure with reduced ejection fraction. Given its recent introduction in the armamentarium for the treatment of heart failure (HF), "field-practice" evidence is required to de...

Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks.

IEEE transactions on cybernetics
Segmenting human left ventricle (LV) in magnetic resonance imaging images and calculating its volume are important for diagnosing cardiac diseases. The latter task became the topic of the Second Annual Data Science Bowl organized by Kaggle. The datas...

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.

Medical image analysis
In patients with coronary artery stenoses of intermediate severity, the functional significance needs to be determined. Fractional flow reserve (FFR) measurement, performed during invasive coronary angiography (ICA), is most often used in clinical pr...