AIMC Topic: Hemodynamics

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Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

European radiology Apr 29, 2020
OBJECTIVES: To build models based on conventional logistic regression (LR) and machine learning (ML) algorithms combining clinical, morphological, and hemodynamic information to predict individual rupture status of unruptured intracranial aneurysms (...
Male Humans Middle Aged Neural Networks, Computer Hemodynamics Machine Learning China Computer Simulation Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Young Adult Female Adult Adolescent Aneurysm, Ruptured Logistic Models Intracranial Aneurysm Computed Tomography Angiography Support Vector Machine Clinical Decision Rules Cerebral Angiography Area Under Curve
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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 Hemodynamics Deep Learning Coronary Angiography Feasibility Studies Neural Networks, Computer Algorithms Databases, Factual Precision Medicine Humans
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Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning.

Magnetic resonance in medicine Mar 13, 2020
PURPOSE: To generate fully automated and fast 4D-flow MRI-based 3D segmentations of the aorta using deep learning for reproducible quantification of aortic flow, peak velocity, and dimensions.
Magnetic Resonance Imaging Aorta Humans Reproducibility of Results Hemodynamics Deep Learning
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Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

European radiology Mar 12, 2020
OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.
Female Aged Male Middle Aged Hemodynamics Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Fractional Flow Reserve, Myocardial Cohort Studies Disease Management Coronary Angiography Cardiac Catheterization Percutaneous Coronary Intervention Computed Tomography Angiography Coronary Artery Disease Coronary Stenosis
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Augmented patient-specific functional medical imaging by implicit manifold learning.

International journal for numerical methods in biomedical engineering Mar 6, 2020
This paper uses machine learning to enrich magnetic resonance angiography and magnetic resonance imaging acquisitions. A convolutional neural network is built and trained over a synthetic database linking geometrical parameters and mechanical charact...
Machine Learning Hemodynamics Magnetic Resonance Imaging Blood Pressure Humans Neural Networks, Computer
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.

JACC. Cardiovascular imaging Dec 18, 2019
Aged, 80 and over Image Interpretation, Computer-Assisted Databases, Factual Adult Diagnosis, Computer-Assisted Proof of Concept Study Prognosis Male Echocardiography Aortic Valve Stenosis Female Humans Ventricular Function, Left Aortic Valve Middle Aged Artificial Intelligence Aged Predictive Value of Tests Severity of Illness Index Hemodynamics
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Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study.

BMJ open Dec 2, 2019
INTRODUCTION: About 42 million surgeries are performed annually in the USA. While the postoperative mortality is less than 2%, 12% of all patients in the high-risk surgery group account for 80% of postoperative deaths. New onset of haemodynamic insta...
Research Design Retrospective Studies Intensive Care Units Electronic Health Records Decision Support Systems, Clinical California Postoperative Complications Humans Hemodynamics Machine Learning
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Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.

Neural networks : the official journal of the International Neural Network Society Nov 30, 2019
Humans perceive physical properties such as motion and elastic force by observing objects in visual scenes. Recent research has proven that computers are capable of inferring physical properties from camera images like humans. However, few studies pe...
Predictive Value of Tests Aged Computed Tomography Angiography Humans Coronary Angiography Male Coronary Stenosis Machine Learning Middle Aged Fractional Flow Reserve, Myocardial Pattern Recognition, Automated Retrospective Studies Hemodynamics Physical Phenomena Blood Flow Velocity Female
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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...
Feasibility Studies Models, Cardiovascular Aorta, Thoracic Humans Blood Flow Velocity Finite Element Analysis Computer Simulation Hemodynamics Deep Learning
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Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression.

Magnetic resonance in medicine Nov 21, 2019
PURPOSE: Arterial Spin Labeling (ASL) is a quantitative, non-invasive alternative for perfusion imaging that does not use contrast agents. The magnetic resonance fingerprinting (MRF) framework can be adapted to ASL to estimate multiple physiological ...
Cerebrovascular Circulation Blood Volume Hemodynamics Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Image Enhancement Brain Phantoms, Imaging
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