AI Medical Compendium Journal:
The international journal of cardiovascular imaging

Showing 51 to 60 of 65 articles

Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.

The international journal of cardiovascular imaging Oct 29, 2020
The large number of available MRI sequences means patients cannot realistically undergo them all, so the range of sequences to be acquired during a scan are protocolled based on clinical details. Adapting this to unexpected findings identified early ...
Cardiomyopathy, Hypertrophic Automation Proof of Concept Study Aorta Cardiomyopathy, Dilated Neural Networks, Computer Reproducibility of Results Magnetic Resonance Imaging Predictive Value of Tests Pleural Effusion Image Interpretation, Computer-Assisted Humans
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A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF.

The international journal of cardiovascular imaging Oct 8, 2020
Left ventricular ejection fraction (LVEF) is the most important parameter in the assessment of cardiac function. A machine-learning algorithm was trained to guide ultrasound-novices to acquire diagnostic echocardiography images. The artificial intell...
Humans Machine Learning Female Reproducibility of Results Aged Adult Middle Aged Pilot Projects Clinical Competence Predictive Value of Tests Heart Diseases Image Interpretation, Computer-Assisted Students, Medical Male Ventricular Function, Left Stroke Volume Echocardiography
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Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm.

The international journal of cardiovascular imaging Jul 16, 2020
To investigate the performance of a deep learning-based algorithm for fully automated quantification of left ventricular (LV) volumes and function in cardiac MRI. We retrospectively analysed MR examinations of 50 patients (74% men, median age 57 year...
Heart Diseases Image Interpretation, Computer-Assisted Retrospective Studies Automation Female Deep Learning Magnetic Resonance Imaging, Cine Adolescent Reproducibility of Results Predictive Value of Tests Aged Feasibility Studies Aged, 80 and over Heart Ventricles Young Adult Adult Male Ventricular Function, Left Middle Aged Diagnosis, Computer-Assisted Humans
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Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The international journal of cardiovascular imaging Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Image Interpretation, Computer-Assisted Gestational Age Double Outlet Right Ventricle Fetal Heart Echocardiography, Four-Dimensional Artificial Intelligence Pregnancy Female Reproducibility of Results Young Adult Adult Ultrasonography, Prenatal Spatio-Temporal Analysis Diagnosis, Computer-Assisted Predictive Value of Tests Anatomic Landmarks Humans
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Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Humans Machine Learning Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors
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From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Humans Machine Learning Rupture, Spontaneous Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Coronary Angiography Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Risk Assessment Heart Disease Risk Factors Severity of Illness Index Coronary Vessels Predictive Value of Tests
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Humans Machine Learning Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels
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Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms.

The international journal of cardiovascular imaging Jul 19, 2019
Deep learning (DL) algorithms are increasingly used in cardiac imaging. We aimed to investigate the utility of DL algorithms in de-noising transthoracic echocardiographic images and removing acoustic shadowing artefacts specifically in patients with ...
Heart Defects, Congenital Humans Female Deep Learning Reproducibility of Results Predictive Value of Tests Young Adult Image Interpretation, Computer-Assisted Artifacts Signal-To-Noise Ratio Adult Male Echocardiography Middle Aged Case-Control Studies
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Ventricular geometry-regularized QRSd predicts cardiac resynchronization therapy response: machine learning from crosstalk between electrocardiography and echocardiography.

The international journal of cardiovascular imaging May 18, 2019
Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronization therapy (CRT), the aim of this study was to find out novel analytical approaches to improve pre-implantation CRT response prediction. Among 31 pre-...
Echocardiography Middle Aged Electrocardiography Treatment Outcome Support Vector Machine Female Humans Aged Aged, 80 and over Clinical Decision-Making Ventricular Remodeling Male Image Interpretation, Computer-Assisted Ventricular Function, Left Predictive Value of Tests Signal Processing, Computer-Assisted Patient Selection Heart Failure Cardiac Resynchronization Therapy
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

The international journal of cardiovascular imaging Jul 30, 2018
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in cath...
Predictive Value of Tests Coronary Angiography Aged Humans Radiographic Image Interpretation, Computer-Assisted Machine Learning Aged, 80 and over Coronary Vessels Computed Tomography Angiography Retrospective Studies Male Multidetector Computed Tomography Coronary Stenosis Female Middle Aged Fractional Flow Reserve, Myocardial Reproducibility of Results Severity of Illness Index Cardiac Catheters
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