AIMC Topic: Models, Cardiovascular

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Sensitivity analysis of the mechanical properties on atherosclerotic arteries rupture risk with an artificial neural network method.

Computer methods in biomechanics and biomedical engineering Jan 25, 2024
Considering the differences between individuals, in this paper, an uncertainty analysis model for predicting rupture risk of atherosclerotic arteries is established based on a back-propagation artificial neural network. The influence of isotropy and ...
Biomechanical Phenomena Atherosclerosis Models, Cardiovascular Arteries Humans Neural Networks, Computer Computer Simulation
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Learning reduced-order models for cardiovascular simulations with graph neural networks.

Computers in biology and medicine Nov 19, 2023
Reduced-order models based on physics are a popular choice in cardiovascular modeling due to their efficiency, but they may experience loss in accuracy when working with anatomies that contain numerous junctions or pathological conditions. We develop...
Neural Networks, Computer Computer Simulation Hemodynamics Cardiovascular System Models, Cardiovascular
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Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population.

BMC medical informatics and decision making Jul 24, 2023
BACKGROUND: Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is crucial for implementing individualized prevention strategies and improving patient outcomes. Our objective is to develop machine learning (ML)-based mode...
East Asian People Atherosclerosis Models, Cardiovascular Female Cardiovascular Diseases Risk Factors Humans Middle Aged Adult Machine Learning Risk Assessment Male Prospective Studies China
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Hemodynamic study of blood flow in the aorta during the interventional robot treatment using fluid-structure interaction.

Biomechanics and modeling in mechanobiology Jun 17, 2023
An interventional robot is a means for vascular diagnosis and treatment, and it can perform dredging, releasing drug and operating. Normal hemodynamic indicators are a prerequisite for the application of interventional robots. The current hemodynamic...
Computer Simulation Hemodynamics Robotics Blood Pressure Pulsatile Flow Blood Flow Velocity Aorta Models, Cardiovascular
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Evaluation of a deep learning-enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias.

The Journal of physiology Apr 24, 2023
Personalized, image-based computational heart modelling is a powerful technology that can be used to improve patient-specific arrhythmia risk stratification and ventricular tachycardia (VT) ablation targeting. However, most state-of-the-art methods s...
Female Aged Male Middle Aged Humans Tomography, X-Ray Computed Deep Learning Workflow Tachycardia, Ventricular Models, Cardiovascular
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Surgical planning of arteriovenous fistulae in routine clinical practice: A machine learning predictive tool.

The journal of vascular access Feb 10, 2023
BACKGROUND: Arteriovenous fistula (AVF) is the preferred vascular access (VA) for hemodialysis, but it is associated with high non-maturation and failure rates. Predicting patient-specific AVF maturation and postoperative changes in blood flow volume...
Patient-Specific Modeling Predictive Value of Tests Regional Blood Flow Blood Flow Velocity Arteriovenous Shunt, Surgical Graft Occlusion, Vascular Vascular Patency Upper Extremity Humans Models, Cardiovascular Machine Learning Middle Aged Decision Support Techniques Renal Dialysis Reproducibility of Results Databases, Factual Time Factors Aged Retrospective Studies Treatment Outcome Male Clinical Decision-Making Female
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Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics.

IEEE journal of biomedical and health informatics Apr 14, 2022
Image-based patient-specific modelling of hemodynamics are gaining increased popularity as a diagnosis and outcome prediction solution for a variety of cardiovascular diseases. While their potential to improve diagnostic capabilities and thereby clin...
Patient-Specific Modeling Hemodynamics Deep Learning Aorta Models, Cardiovascular Humans Computer Simulation
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Automated Cardioailment Identification and Prevention by Hybrid Machine Learning Models.

Computational and mathematical methods in medicine Feb 15, 2022
Accurate prediction of cardiovascular disease is necessary and considered to be a difficult attempt to treat a patient effectively before a heart attack occurs. According to recent studies, heart disease is said to be one of the leading origins of de...
Computational Biology Bayes Theorem Heart Diseases Probability Heart Disease Risk Factors Models, Cardiovascular Databases, Factual Humans Female Machine Learning Male Algorithms Diagnosis, Computer-Assisted
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Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

Circulation. Arrhythmia and electrophysiology Jan 28, 2022
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while ...
Atrial Remodeling Treatment Outcome Magnetic Resonance Imaging Action Potentials Humans Electrocardiography, Ambulatory Recurrence Fibrosis Risk Factors Machine Learning Atrial Function, Left Risk Assessment Atrial Fibrillation Models, Cardiovascular Time Factors Heart Rate Patient-Specific Modeling Catheter Ablation
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Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.

PloS one Jan 24, 2022
Acute coronary syndromes (ACS) are a leading cause of deaths worldwide, yet the diagnosis and treatment of this group of diseases represent a significant challenge for clinicians. The epidemiology of ACS is extremely complex and the relationship betw...
Risk Assessment Comorbidity Hospital Mortality Registries Anemia Acute Coronary Syndrome Patient Admission Models, Cardiovascular Female Aged Male Middle Aged Humans Middle East Machine Learning
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