AIMC Topic: Hemodynamics

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Early prediction of hemodynamic interventions in the intensive care unit using machine learning.

Critical care (London, England) Nov 14, 2021
BACKGROUND: Timely recognition of hemodynamic instability in critically ill patients enables increased vigilance and early treatment opportunities. We develop the Hemodynamic Stability Index (HSI), which highlights situational awareness of possible h...
Hemodynamics Predictive Value of Tests Critical Care Humans Machine Learning Intensive Care Units
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A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced-order model.

International journal for numerical methods in biomedical engineering Oct 11, 2021
Precise model personalization is a key step towards the application of cardiovascular physical models. In this manuscript, we propose to use deep learning (DL) to solve the parameter estimation problem in cardiovascular hemodynamics. Based on the con...
Hemodynamics Neural Networks, Computer Deep Learning Algorithms Models, Cardiovascular Humans
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Assessing the Adequacy of Hemodialysis Patients via the Graph-Based Takagi-Sugeno-Kang Fuzzy System.

Computational and mathematical methods in medicine Jul 27, 2021
Maintenance hemodialysis is the main method for the treatment of end-stage renal disease in China. The / value is the gold standard of hemodialysis adequacy. However, / requires repeated blood drawing and evaluation; it is hard to monitor dialysis ad...
Feasibility Studies Middle Aged Female China Models, Biological Aged Humans Hemodynamics Renal Dialysis Quality of Health Care Male Computational Biology Machine Learning Fuzzy Logic Kidney Failure, Chronic
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Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.

Journal of vascular surgery Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
California International Classification of Diseases Magnetic Resonance Angiography Data Mining Ultrasonography, Doppler Carotid Stenosis Comparative Effectiveness Research Medical Records Asymptomatic Diseases Computed Tomography Angiography Cross-Sectional Studies Severity of Illness Index Hemodynamics Predictive Value of Tests Natural Language Processing Humans Retrospective Studies
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Classification of impedance cardiography dZ/dt complex subtypes using pattern recognition artificial neural networks.

Biomedizinische Technik. Biomedical engineering Jun 24, 2021
In impedance cardiography (ICG), the detection of dZ/dt signal (ICG) characteristic points, especially the X point, is a crucial step for the calculation of hemodynamic parameters such as stroke volume (SV) and cardiac output (CO). Unfortunately, for...
Humans Hemodynamics Neural Networks, Computer Cardiac Output Stroke Volume Cardiography, Impedance
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Harnessing Artificial Intelligence for Quantitative Assessment of Hemodynamic Congestion and Predicting Outcomes.

JACC. Cardiovascular imaging Jun 16, 2021
Humans Predictive Value of Tests Artificial Intelligence Heart Failure Hemodynamics
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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...
Aortic Coarctation Aorta Models, Cardiovascular Humans Artificial Intelligence Hemodynamics Magnetic Resonance Imaging
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Reply to Higaki-Next Steps in Artificial Intelligence for Cardiovascular Hemodynamics.

The Canadian journal of cardiology Mar 13, 2021
Humans Artificial Intelligence Algorithms Hemodynamics Diagnostic Imaging Cardiovascular System
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Genetic-fuzzy logic model for a non-invasive measurement of a stroke volume.

Computer methods and programs in biomedicine Mar 12, 2021
BACKGROUND: Despite the importance of stroke volume readings in understanding the work of the cardiovascular system in patients, its routine daily measurement outside of a hospital in the absence of special equipment presents a problem for a comprehe...
Heart Rate Adolescent Fuzzy Logic Blood Pressure Middle Aged Hemodynamics Adult Male Humans Stroke Volume Female Young Adult
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Machine Learning-Based Prediction of Small Intracranial Aneurysm Rupture Status Using CTA-Derived Hemodynamics: A Multicenter Study.

AJNR. American journal of neuroradiology Mar 4, 2021
BACKGROUND AND PURPOSE: Small intracranial aneurysms are being increasingly detected while the rupture risk is not well-understood. We aimed to develop rupture-risk models of small aneurysms by combining clinical, morphologic, and hemodynamic informa...
Aneurysm, Ruptured Intracranial Aneurysm Machine Learning Humans Retrospective Studies Hemodynamics
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