AIMC Topic: Hemodynamics

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Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis.

Clinical research in cardiology : official journal of the German Cardiac Society Oct 29, 2019
BACKGROUND: Fractional flow reserve based on coronary CT angiography (CT-FFR) is gaining importance for non-invasive hemodynamic assessment of coronary artery disease (CAD). We evaluated the on-site CT-FFR with a machine learning algorithm (CT-FFR) f...
Algorithms Prospective Studies Prognosis Female Humans Machine Learning Coronary Angiography Coronary Vessels Aged Computed Tomography Angiography Male Coronary Stenosis Hemodynamics Fractional Flow Reserve, Myocardial Follow-Up Studies
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The influence of hemodynamics on graft patency prediction model based on support vector machine.

Journal of biomechanics Oct 15, 2019
In the existing patency prediction model of coronary artery bypass grafting (CABG), the characteristics are based on graft flow, but no researchers selected hemodynamic factors as the characteristics. The purpose of this paper is to study whether the...
Vascular Patency Mammary Arteries Aged Male Middle Aged Hemodynamics Support Vector Machine Humans Models, Statistical Female Postoperative Period Coronary Artery Bypass
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Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning.

PloS one Sep 26, 2019
The blood flow through the major vessels holds great diagnostic potential for the identification of cardiovascular complications and is therefore routinely assessed with current diagnostic modalities. Heart valves are subject to high hydrodynamic loa...
Models, Cardiovascular Prosthesis Failure Bioprosthesis Heart Valves Datasets as Topic Humans Magnetic Resonance Angiography Heart Valve Prosthesis Machine Learning Echocardiography, Doppler Hemodynamics Diagnosis, Computer-Assisted Regional Blood Flow
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Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.

Radiology Sep 24, 2019
Background Direct intraindividual comparison of dynamic CT myocardial perfusion imaging (MPI) and machine learning (ML)-based CT fractional flow reserve (FFR) has not been explored for diagnosing hemodynamically significant coronary artery disease. P...
Male Middle Aged Severity of Illness Index Hemodynamics Aged Aged, 80 and over Adult Sensitivity and Specificity Coronary Stenosis Fractional Flow Reserve, Myocardial ROC Curve Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Humans Machine Learning Prospective Studies Tomography, X-Ray Computed Female
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Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.

International journal of computer assisted radiology and surgery Sep 4, 2019
PURPOSE: Incidental aneurysms pose a challenge to physicians who need to decide whether or not to treat them. A statistical model could potentially support such treatment decisions. The aim of this study was to compare a previously developed aneurysm...
Humans Hemodynamics Aneurysm, Ruptured Intracranial Aneurysm ROC Curve Support Vector Machine Models, Statistical Decision Trees
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Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device.

Sensors (Basel, Switzerland) Aug 4, 2019
The classifier of support vector machine (SVM) learning for assessing the quality of arteriovenous fistulae (AVFs) in hemodialysis (HD) patients using a new photoplethysmography (PPG) sensor device is presented in this work. In clinical practice, the...
Regional Blood Flow Signal-To-Noise Ratio Arteriovenous Fistula Hemodynamics Photoplethysmography Kidney Failure, Chronic Constriction, Pathologic Humans Machine Learning
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Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks.

Artificial intelligence in medicine Mar 8, 2019
The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming. It is expected to spread as an epidemic by 2030. Present methods of determining the health of one's heart include doppler based echocardiogram, MDCT ...
Image Processing, Computer-Assisted Cardiography, Impedance Humans Neural Networks, Computer Female Echocardiography Adult Middle Aged Male Hemodynamics
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Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Female Reproducibility of Results Aged Male Middle Aged Hemodynamics United States Aortic Valve Humans Machine Learning Prospective Studies Retrospective Studies Magnetic Resonance Imaging, Cine Proof of Concept Study Predictive Value of Tests Blood Flow Velocity Heart Diseases Aorta Image Interpretation, Computer-Assisted Myocardial Perfusion Imaging Automation
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Hypertonic Saline Modulates Heart Function and Myocardial Inflammatory Alterations in Brain-Dead Rats.

The Journal of surgical research Oct 23, 2018
BACKGROUND: Brain death (BD) in potential organ donors is responsible for hemodynamic instability and organ hypoperfusion, leading to myocardial dysfunction. Hypertonic saline (HS) is a volume expander with positive effects on hemodynamics and immuno...
Brain Death Saline Solution, Hypertonic Rats Animals Myocardium Male Sodium Hemodynamics Ventricular Dysfunction, Left Rats, Wistar
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Comparisons of Pressure-controlled Ventilation with Volume Guarantee and Volume-controlled 1:1 Equal Ratio Ventilation on Oxygenation and Respiratory Mechanics during Robot-assisted Laparoscopic Radical Prostatectomy: a Randomized-controlled Trial.

International journal of medical sciences Oct 20, 2018
During robot-assisted laparoscopic radical prostatectomy (RALP), steep Trendelenburg position and carbon dioxide pneumoperitoneum are inevitable for surgical exposure, both of which can impair cardiopulmonary function. This study was aimed to compar...
Humans Middle Aged Laparoscopy Aged Aged, 80 and over Prostatectomy Hemodynamics Young Adult Robotics Respiratory Mechanics Adult Double-Blind Method Male
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