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European heart journal. Cardiovascular Imaging

Showing 1 to 10 of 28 articles

Has artificial intelligence proven stress perfusion cardiac computed tomography obsolete or more relevant than ever?

European heart journal. Cardiovascular Imaging May 9, 2025
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Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.

European heart journal. Cardiovascular Imaging Apr 30, 2025
AIMS: Understanding determinants of thoracic aortic morphology is crucial for precise diagnostics and therapeutic approaches. This study aimed to automatically characterize ascending aortic morphology based on 3D non-contrast-enhanced magnetic resona...
Adult Cross-Sectional Studies Male Middle Aged Humans Female Aged Sex Factors Germany Aorta, Thoracic Magnetic Resonance Angiography Deep Learning Cohort Studies Imaging, Three-Dimensional Age Factors
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Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment.

European heart journal. Cardiovascular Imaging Mar 3, 2025
AIMS: Identification of proximal coronary artery calcium (CAC) may improve prediction of major adverse cardiac events (MACE) beyond the CAC score, particularly in patients with low CAC burden. We investigated whether the proximal CAC can be detected ...
Computed Tomography Angiography Tomography, X-Ray Computed Female Aged Male Algorithms Prognosis Retrospective Studies Follow-Up Studies Coronary Angiography Coronary Artery Disease Vascular Calcification Middle Aged Risk Assessment Severity of Illness Index ROC Curve Humans Artificial Intelligence
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Artificial intelligence-derived stress ejection fraction in stress cardiac magnetic resonance with dipyridamole: bridging past insights with future innovations.

European heart journal. Cardiovascular Imaging Sep 30, 2024
Humans Artificial Intelligence Female Male Stroke Volume Middle Aged Exercise Test Vasodilator Agents Dipyridamole Magnetic Resonance Imaging, Cine
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Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance.

European heart journal. Cardiovascular Imaging Sep 30, 2024
AIMS: This study aimed to determine in patients undergoing stress cardiovascular magnetic resonance (CMR) whether fully automated stress artificial intelligence (AI)-based left ventricular ejection fraction (LVEFAI) can provide incremental prognostic...
Artificial Intelligence Prognosis Retrospective Studies Female Humans Middle Aged Risk Assessment Longitudinal Studies Exercise Test Aged Male Ventricular Function, Left Stroke Volume Magnetic Resonance Imaging, Cine
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Evaluation of deep learning estimation of whole heart anatomy from automated cardiovascular magnetic resonance short- and long-axis analyses in UK Biobank.

European heart journal. Cardiovascular Imaging Sep 30, 2024
AIMS: Standard methods of heart chamber volume estimation in cardiovascular magnetic resonance (CMR) typically utilize simple geometric formulae based on a limited number of slices. We aimed to evaluate whether an automated deep learning neural netwo...
Aged Male Cardiovascular Diseases Middle Aged Humans Female Magnetic Resonance Imaging, Cine UK Biobank Deep Learning Imaging, Three-Dimensional Biological Specimen Banks United Kingdom
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Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE study.

European heart journal. Cardiovascular Imaging Aug 26, 2024
AIMS: Coronary computed tomography angiography provides non-invasive assessment of coronary stenosis severity and flow impairment. Automated artificial intelligence (AI) analysis may assist in precise quantification and characterization of coronary a...
Humans Prospective Studies Female Aged Male Middle Aged Coronary Artery Disease Japan Plaque, Atherosclerotic Computed Tomography Angiography Severity of Illness Index Deep Learning Coronary Angiography Ultrasonography, Interventional
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Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry.

European heart journal. Cardiovascular Imaging Jun 28, 2024
AIMS: Vessel-specific coronary artery calcification (CAC) is additive to global CAC for prognostic assessment. We assessed accuracy and prognostic implications of vessel-specific automated deep learning (DL) CAC analysis on electrocardiogram (ECG) ga...
Humans Prognosis Female Aged Male Middle Aged Risk Assessment Vascular Calcification Computed Tomography Angiography Deep Learning Coronary Angiography Registries Coronary Artery Disease
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Deep learning for automatic volumetric segmentation of left ventricular myocardium and ischaemic scar from multi-slice late gadolinium enhancement cardiovascular magnetic resonance.

European heart journal. Cardiovascular Imaging May 31, 2024
AIMS: This study details application of deep learning for automatic volumetric segmentation of left ventricular (LV) myocardium and scar and automated quantification of myocardial ischaemic scar burden from late gadolinium enhancement cardiovascular ...
Humans Heart Ventricles Gadolinium Myocardial Ischemia Magnetic Resonance Imaging, Cine Middle Aged Deep Learning Contrast Media Cicatrix Female Aged Male
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Prognostic value of a novel artificial intelligence-based coronary computed tomography angiography-derived ischaemia algorithm for patients with suspected coronary artery disease.

European heart journal. Cardiovascular Imaging Apr 30, 2024
AIMS: Coronary computed tomography angiography (CTA) imaging is used to diagnose patients with suspected coronary artery disease (CAD). A novel artificial intelligence-guided quantitative computed tomography ischaemia algorithm (AI-QCTischaemia) aims...
Middle Aged Risk Assessment Cohort Studies Coronary Angiography Coronary Artery Disease Myocardial Ischemia Computed Tomography Angiography Prognosis Female Aged Male Humans Artificial Intelligence Algorithms
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