AIMC Topic: Models, Cardiovascular

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Patient-specific three-dimensional aortic arch modeling for automatic measurements: clinical validation in aortic coarctation.

Journal of cardiovascular medicine (Hagerstown, Md.) Jul 1, 2020
AIM: A validated algorithm for automatic aortic arch measurements in aortic coarctation (CoA) patients could standardize procedures for clinical planning.
Male Humans Adolescent Child Retrospective Studies Female Imaging, Three-Dimensional Machine Learning Reproducibility of Results Software Young Adult Predictive Value of Tests Adult Automation Aorta, Thoracic Magnetic Resonance Angiography Patient-Specific Modeling Aortic Coarctation Models, Cardiovascular
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Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram.

Journal of the American College of Cardiology Feb 25, 2020
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is an uncommon but important cause of sudden cardiac death.
Humans Neural Networks, Computer Cardiomyopathy, Hypertrophic Models, Cardiovascular Adult Male Middle Aged Electrocardiography Algorithms Female Aged
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Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Journal of thrombosis and thrombolysis Jan 1, 2020
Traditional statistical models allow population based inferences and comparisons. Machine learning (ML) explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that may account for higher ord...
Aged Male Middle Aged Risk Assessment Humans Machine Learning Female Acute Coronary Syndrome Models, Cardiovascular Randomized Controlled Trials as Topic Fibrinolytic Agents Hemorrhage
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[Research on the cardiovascular function evaluation system based on noninvasive detection indices].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2019
Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on...
Humans Research Cardiovascular System Models, Cardiovascular Cardiovascular Diseases Fuzzy Logic
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PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Photoplethysmogram (PPG) is increasingly used to provide monitoring of the cardiovascular system under ambulatory conditions. Wearable devices like smartwatches use PPG to allow long-term unobtrusive monitoring of heart rate in free-living conditions...
Models, Cardiovascular Heart Rate Artifacts Monitoring, Ambulatory Wearable Electronic Devices Photoplethysmography Signal Processing, Computer-Assisted Computer Simulation Deep Learning Humans Algorithms
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A new deep learning model for assisted diagnosis on electrocardiogram.

Mathematical biosciences and engineering : MBE Mar 22, 2019
In order to enhance the accuracy of computer aided electrocardiogram analysis, we propose a deep learning model called CBRNN to assist diagnosis on electrocardiogram for clinical medical service. It combines two sub networks which are convolutional n...
Neural Networks, Computer Machine Learning Humans Models, Cardiovascular Cardiology Medical Errors Electrocardiography Skin Algorithms Signal Processing, Computer-Assisted Medical Informatics Diagnosis, Computer-Assisted Deep Learning
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Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
This paper presents an automated computational platform based on deep learning (DL) approach for left ventricular (LV) and right ventricular (RV) endocardium segmentation in long-axis cine cardiovascular magnetic resonance (CMR). The proposed method ...
Image Interpretation, Computer-Assisted Humans Reproducibility of Results Magnetic Resonance Imaging, Cine Models, Cardiovascular Deep Learning Neural Networks, Computer Endocardium Heart Ventricles Algorithms
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Teaching cardiovascular medicine to machines.

Cardiovascular research Jul 1, 2018
Ventricular Remodeling Therapy, Computer-Assisted Models, Cardiovascular Patient-Specific Modeling Cardiovascular Diseases Hemodynamics Diagnosis, Computer-Assisted Diffusion of Innovation Humans Machine Learning Prognosis
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Context encoding enables machine learning-based quantitative photoacoustics.

Journal of biomedical optics May 1, 2018
Real-time monitoring of functional tissue parameters, such as local blood oxygenation, based on optical imaging could provide groundbreaking advances in the diagnosis and interventional therapy of various diseases. Although photoacoustic (PA) imaging...
Models, Cardiovascular Optical Imaging Oxyhemoglobins Photoacoustic Techniques Humans Signal Processing, Computer-Assisted Machine Learning Carotid Arteries Algorithms
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Expert curation for building network-based dynamical models: a case study on atherosclerotic plaque formation.

Database : the journal of biological databases and curation Jan 1, 2018
http://biomodels.caltech.edu.
Data Curation Models, Cardiovascular Biological Ontologies Electronic Data Processing Humans Plaque, Atherosclerotic Databases, Factual Atherosclerosis
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