AIMC Topic: Models, Cardiovascular

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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
Male Middle Aged Risk Assessment Monitoring, Intraoperative ROC Curve Female Aged Adult Drug Delivery Systems Cholecystectomy, Laparoscopic Arterial Pressure Models, Cardiovascular Anesthetics Intubation, Intratracheal Anesthesia, General Bayes Theorem Feasibility Studies Hypotension Humans Neural Networks, Computer Machine Learning Retrospective Studies Electronic Health Records
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Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.

Computational and mathematical methods in medicine Apr 9, 2020
In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learning has received considerable attention from the healthcare sector. Despite their ability to provide solutions within personalized medicine, strict regu...
Privacy Computer Security Medical Records Models, Cardiovascular Precision Medicine Hemodynamics Deep Learning Coronary Angiography Feasibility Studies Humans Neural Networks, Computer Algorithms Databases, Factual
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Video-based AI for beat-to-beat assessment of cardiac function.

Nature Mar 25, 2020
Accurate assessment of cardiac function is crucial for the diagnosis of cardiovascular disease, screening for cardiotoxicity and decisions regarding the clinical management of patients with a critical illness. However, human assessment of cardiac fun...
Humans Prospective Studies Reproducibility of Results Ventricular Function, Left Atrial Fibrillation Heart Diseases Video Recording Datasets as Topic Models, Cardiovascular Echocardiography Hospitals Deep Learning Heart Heart Failure
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Machine Learning Approach to Identify Stroke Within 4.5 Hours.

Stroke Jan 28, 2020
Background and Purpose- We aimed to investigate the ability of machine learning (ML) techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging to identify patients within the reco...
Stroke Brain Ischemia Models, Cardiovascular Humans Diffusion Magnetic Resonance Imaging Machine Learning Male Female Middle Aged Aged Diagnosis, Computer-Assisted Time Factors Registries
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Machine learning models for identifying preterm infants at risk of cerebral hemorrhage.

PloS one Jan 15, 2020
Intracerebral hemorrhage in preterm infants is a major cause of brain damage and cerebral palsy. The pathogenesis of cerebral hemorrhage is multifactorial. Among the risk factors are impaired cerebral autoregulation, infections, and coagulation disor...
Models, Cardiovascular Risk Factors Male Infant, Extremely Premature Cerebral Hemorrhage Humans Machine Learning Retrospective Studies Female Infant, Newborn
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A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue.

Biomechanics and modeling in mechanobiology Dec 10, 2019
Real-time simulation of organs increases comfort and safety for patients during the surgery. Proper generalized decomposition (PGD) is an efficient numerical method with coordinate errors below 1 mm and response time below 0.1 s that can be used for ...
Swine Imaging, Three-Dimensional Liver Models, Biological Materials Testing Nonlinear Dynamics Stress, Mechanical Elasticity Finite Element Analysis Neural Networks, Computer Machine Learning Algorithms Computer Simulation Animals Humans Models, Cardiovascular Anisotropy
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A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves.

Scientific reports Dec 6, 2019
Bioprosthetic heart valves (BHVs) are commonly used as heart valve replacements but they are prone to fatigue failure; estimating their remaining life directly from medical images is difficult. Analyzing the valve performance can provide better guida...
Prosthesis Design Feasibility Studies Heart Valve Prosthesis Implantation Heart Valve Prosthesis Tomography, X-Ray Computed Finite Element Analysis Humans Biomechanical Phenomena Models, Cardiovascular Decision Support Techniques Computer-Aided Design Prosthesis Failure Bioprosthesis Deep Learning Heart Valves Image Processing, Computer-Assisted
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A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta.

Journal of biomechanics Nov 26, 2019
Numerical analysis methods including finite element analysis (FEA), computational fluid dynamics (CFD), and fluid-structure interaction (FSI) analysis have been used to study the biomechanics of human tissues and organs, as well as tissue-medical dev...
Blood Flow Velocity Computer Simulation Humans Hemodynamics Finite Element Analysis Deep Learning Models, Cardiovascular Feasibility Studies Aorta, Thoracic
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Estimation of cerebral blood flow velocity during breath-hold challenge using artificial neural networks.

Computers in biology and medicine Oct 17, 2019
UNLABELLED: The effect of untreated Obstructive Sleep Apnoea (OSA) on cerebral haemodynamics and CA impairment is an active field of research interest. A breath-hold challenge is usually used in clinical and research settings to simulate cardiovascul...
Models, Cardiovascular Breath Holding Male Humans Photoplethysmography Neural Networks, Computer Sleep Apnea, Obstructive Female Blood Flow Velocity Adult Cerebrovascular Circulation
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Deep Learning in Quantitative PET Myocardial Perfusion Imaging: A Study on Cardiovascular Event Prediction.

JACC. Cardiovascular imaging Oct 11, 2019
Deep Learning Humans Female Time Factors Image Interpretation, Computer-Assisted Prognosis Middle Aged Reproducibility of Results Predictive Value of Tests Myocardial Perfusion Imaging Risk Factors Positron Emission Tomography Computed Tomography Risk Assessment Models, Cardiovascular Aged Coronary Artery Disease Disease Progression Male Diagnosis, Computer-Assisted
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