AIMC Topic: Models, Cardiovascular

Clear Filters Showing 61 to 70 of 154 articles

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis.

Scientific reports May 26, 2021
Deep learning-based tools may annotate and interpret medical data more quickly, consistently, and accurately than medical doctors. However, as medical doctors are ultimately responsible for clinical decision-making, any deep learning-based prediction...
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Female Aged Adult Models, Cardiovascular Knowledge Discovery Sex Determination Analysis Cardiologists Electrocardiography Heart Diseases Humans Data Accuracy Algorithms
View on PubMed DOI

Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability.

IEEE transactions on medical imaging Apr 30, 2021
Modeling of hemodynamics and artificial intelligence have great potential to support clinical diagnosis and decision making. While hemodynamics modeling is extremely time- and resource-consuming, machine learning (ML) typically requires large trainin...
Hemodynamics Humans Models, Cardiovascular Artificial Intelligence Magnetic Resonance Imaging Aortic Coarctation Aorta
View on PubMed DOI

ECG Heartbeat Classification Based on an Improved ResNet-18 Model.

Computational and mathematical methods in medicine Apr 30, 2021
Based on a convolutional neural network (CNN) approach, this article proposes an improved ResNet-18 model for heartbeat classification of electrocardiogram (ECG) signals through appropriate model training and parameter adjustment. Due to the unique r...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Models, Cardiovascular Signal-To-Noise Ratio Wavelet Analysis Databases, Factual Computational Biology Electrocardiography Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Pre-existing and machine learning-based models for cardiovascular risk prediction.

Scientific reports Apr 26, 2021
Predicting the risk of cardiovascular disease is the key to primary prevention. Machine learning has attracted attention in analyzing increasingly large, complex healthcare data. We assessed discrimination and calibration of pre-existing cardiovascul...
Middle Aged Risk Assessment Models, Cardiovascular Machine Learning Female Risk Factors Male Cardiovascular Diseases Aged Adult Humans
View on PubMed DOI

Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection.

Scientific reports Apr 26, 2021
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this methodology for risk prediction in smaller cohorts with uncommon diseases and infrequent events is ...
Humans Databases, Factual Electronic Health Records Middle Aged Risk Assessment Deep Learning Hospital Mortality Female Adult Male Coronary Artery Disease Models, Cardiovascular Coronary Vessels Rupture, Spontaneous
View on PubMed DOI

Machine Learning in Arrhythmia and Electrophysiology.

Circulation research Feb 18, 2021
Machine learning (ML), a branch of artificial intelligence, where machines learn from big data, is at the crest of a technological wave of change sweeping society. Cardiovascular medicine is at the forefront of many ML applications, and there is a si...
Humans Decision Support Systems, Clinical Machine Learning Models, Cardiovascular Arrhythmias, Cardiac Animals Electrophysiologic Techniques, Cardiac
View on PubMed DOI

A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time - varying transvalvular pressure.

Journal of the mechanical behavior of biomedical materials Feb 12, 2021
Machine learning and deep learning frameworks have been presented as a substitute for lengthy computational analysis, such as finite element analysis, computational fluid dynamics, and fluid-structure interaction. In this study, our objective was to ...
Deep Learning Finite Element Analysis Aortic Valve Models, Cardiovascular Prosthesis Design Heart Valves Heart Valve Prosthesis
View on PubMed DOI

Isogeometric finite element-based simulation of the aortic heart valve: Integration of neural network structural material model and structural tensor fiber architecture representations.

International journal for numerical methods in biomedical engineering Feb 10, 2021
The functional complexity of native and replacement aortic heart valves (AVs) is well known, incorporating such physical phenomenons as time-varying non-linear anisotropic soft tissue mechanical behavior, geometric non-linearity, complex multi-surfac...
Models, Cardiovascular Heart Valves Neural Networks, Computer Computer Simulation Finite Element Analysis
View on PubMed DOI

Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive pooling.

Scientific reports Dec 11, 2020
Recognizing specific heart sound patterns is important for the diagnosis of structural heart diseases. However, the correct recognition of heart murmur depends largely on clinical experience. Accurately identifying abnormal heart sound patterns is ch...
Adult Male Adolescent Neural Networks, Computer Humans Software Heart Defects, Congenital Female Child, Preschool Models, Cardiovascular Heart Auscultation Child Heart Murmurs Signal Processing, Computer-Assisted
View on PubMed DOI

Neural Network Vessel Lumen Regression for Automated Lumen Cross-Section Segmentation in Cardiovascular Image-Based Modeling.

Cardiovascular engineering and technology Nov 11, 2020
PURPOSE: We accelerate a pathline-based cardiovascular model building method by training machine learning models to directly predict vessel lumen surface points from computed tomography (CT) and magnetic resonance (MR) medical image data.
Automation Magnetic Resonance Angiography Computed Tomography Angiography Humans Diagnosis, Computer-Assisted Models, Cardiovascular Blood Vessels Neural Networks, Computer Predictive Value of Tests Patient-Specific Modeling Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals