Coronary Circulation

Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty-guided space-time analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 39142567

BACKGROUND: Fully automatic analysis of myocardial perfusion cardiovascular magnetic resonance imaging datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart disease. Developing deep learning t...

Aged Coronary Circulation Datasets as Topic Deep Learning Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Myocardial Perfusion Imaging Predictive Value of Tests Reproducibility of Results Time Factors Uncertainty United States

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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 39067701

BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...

Adenosine Adenosine A2 Receptor Agonists Aged Algorithms Artificial Intelligence Body Weight Case-Control Studies Coronary Artery Disease Coronary Circulation Female Humans Image Interpretation, Computer-Assisted Logistic Models Male Middle Aged Myocardial Perfusion Imaging Obesity Predictive Value of Tests Purines Pyrazoles Risk Factors Vasodilator Agents

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Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 38211658

BACKGROUND: 4D flow MRI enables assessment of cardiac function and intra-cardiac blood flow dynamics from a single acquisition. However, due to the poor contrast between the chambers and surrounding tissue, quantitative analysis relies on the segment...

Automation Blood Flow Velocity Coronary Circulation Databases, Factual Deep Learning Female Heart Ventricles Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Male Middle Aged Myocardial Perfusion Imaging Predictive Value of Tests Reproducibility of Results Ventricular Function, Left

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AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

JACC. Cardiovascular imaging 38456877

BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery cal...

Aged Artificial Intelligence Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Circulation Coronary Vessels Female Humans Male Middle Aged Myocardial Perfusion Imaging Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors Single Photon Emission Computed Tomography Computed Tomography Time Factors Vascular Calcification

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Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion.

Journal of cardiovascular computed tomography 38664074

BACKGROUND: Among patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA), downstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemi...

Adenosine Aged Algorithms Angina, Unstable Artificial Intelligence Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Circulation Coronary Stenosis Coronary Vessels Female Finland Humans Male Middle Aged Myocardial Perfusion Imaging Positron-Emission Tomography Predictive Value of Tests Prognosis Reproducibility of Results Retrospective Studies Risk Factors Severity of Illness Index Time Factors Vasodilator Agents

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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging 38752951

BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.

Acute Coronary Syndrome Aged Artificial Intelligence Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Circulation Coronary Vessels Female Hemodynamics Humans Male Middle Aged Multidetector Computed Tomography Plaque, Atherosclerotic Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Risk Assessment Risk Factors Rupture, Spontaneous Severity of Illness Index Time Factors

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Estimation of invasive coronary perfusion pressure using electrocardiogram and Photoplethysmography in a porcine model of cardiac arrest.

Computer methods and programs in biomedicine 38924799

BACKGROUND: Coronary perfusion pressure (CPP) indicates spontaneous return of circulation and is recommended for high-quality cardiopulmonary resuscitation (CPR). This study aimed to investigate a method for non-invasive estimation of CPP using elect...

Algorithms Animals Blood Pressure Cardiopulmonary Resuscitation Coronary Circulation Disease Models, Animal Electrocardiography Heart Arrest Machine Learning Photoplethysmography Swine

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Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiograms.

Cell reports. Medicine 39326409

We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET...

Aged Coronary Artery Disease Coronary Circulation Electrocardiography Female Humans Machine Learning Male Middle Aged Positron-Emission Tomography Prognosis ROC Curve Tomography, Emission-Computed, Single-Photon

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Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis.

European journal of nuclear medicine and molecular imaging 39404786

PURPOSE: This study aimed to test whether the coronary artery calcium (CAC) burden on attenuation correction computed tomography (CTac), measured using artificial intelligence (AI-CACac), correlates with coronary flow capacity (CFC) and prognosis.

Aged Artificial Intelligence Calcium Coronary Artery Disease Coronary Circulation Coronary Vessels Female Humans Image Processing, Computer-Assisted Male Middle Aged Prognosis Retrospective Studies Tomography, X-Ray Computed

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Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network.

Journal of X-ray science and technology 40026015

BACKGROUND: Myocardial blood flow (MBF) provides important diagnostic information for myocardial ischemia. However, dynamic computed tomography perfusion (CTP) needed for MBF involves multiple exposures, leading to high radiation doses.

Aged Coronary Artery Disease Coronary Circulation Feasibility Studies Female Humans Image Processing, Computer-Assisted Male Middle Aged Myocardial Ischemia Myocardial Perfusion Imaging Neural Networks, Computer Tomography, X-Ray Computed

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Explore the latest research on artificial intelligence and machine learning in medicine.

Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty-guided space-time analysis.

Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.

AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion.

Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

Estimation of invasive coronary perfusion pressure using electrocardiogram and Photoplethysmography in a porcine model of cardiac arrest.

Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiograms.

Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis.

Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network.

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