AIMC Topic: Models, Cardiovascular

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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...
Male Cardiovascular Diseases Middle Aged Humans Risk Assessment Machine Learning Prospective Studies Female Risk Factors Adult China East Asian People Atherosclerosis Models, Cardiovascular
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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...
Robotics Blood Pressure Blood Flow Velocity Aorta Computer Simulation Models, Cardiovascular Hemodynamics Pulsatile Flow
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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...
Humans Tomography, X-Ray Computed Female Aged Tachycardia, Ventricular Male Models, Cardiovascular Middle Aged Deep Learning Workflow
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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...
Regional Blood Flow Blood Flow Velocity Arteriovenous Shunt, Surgical Graft Occlusion, Vascular Renal Dialysis Time Factors Treatment Outcome Predictive Value of Tests Vascular Patency Upper Extremity Models, Cardiovascular Patient-Specific Modeling Databases, Factual Retrospective Studies Clinical Decision-Making Female Reproducibility of Results Aged Male Middle Aged Humans Machine Learning Decision Support Techniques
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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...
Female Male Diagnosis, Computer-Assisted Computational Biology Models, Cardiovascular Humans Bayes Theorem Machine Learning Heart Diseases Algorithms Probability Databases, Factual Heart Disease Risk Factors
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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 ...
Heart Rate Catheter Ablation Recurrence Atrial Function, Left Models, Cardiovascular Patient-Specific Modeling Atrial Remodeling Action Potentials Electrocardiography, Ambulatory Fibrosis Atrial Fibrillation Risk Assessment Time Factors Humans Machine Learning Risk Factors Treatment Outcome Magnetic Resonance Imaging
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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...
Humans Registries Anemia Models, Cardiovascular Middle Aged Acute Coronary Syndrome Machine Learning Middle East Patient Admission Female Risk Assessment Aged Comorbidity Male Hospital Mortality
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Blood Pressure Model Based on Hybrid Feature Convolution Neural Network in Promoting Rehabilitation of Patients with Hypertensive Intracerebral Hemorrhage.

Computational and mathematical methods in medicine Dec 7, 2021
OBJECTIVE: Accurate prediction of the rise of blood pressure is essential for the hypertensive intracerebral hemorrhage. This study uses the hybrid feature convolution neural network to establish the blood pressure model instead of the traditional me...
Middle Aged Female Humans Pulse Wave Analysis Aged Neural Networks, Computer Computational Biology Recurrence Machine Learning Adult Blood Pressure Models, Cardiovascular Algorithms Male Antihypertensive Agents Intracranial Hemorrhage, Hypertensive
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