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Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 652-672 of 3,592 articles

Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.

CT-based body composition (BC) measurements have historically been too resource intensive to analyz...

Aug 2022 36043607

MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.

BACKGROUND: Accurate and automated brain tumor segmentation from multi-modality MR images plays a si...

Aug 2022 35962724

Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction.

The performance and clinical implications of the deep learning aided algorithm using electrocardiogr...

Aug 2022 35987961

Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning.

The fovea centralis is an essential landmark in the retina where the photoreceptor layer is entirely...

Aug 2022 35394920

DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography.

Arterial blood pressure (ABP) monitoring may permit the early diagnosis and management of cardiovasc...

Aug 2022 35511844

Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints.

Background MRI is frequently used for early diagnosis of axial spondyloarthritis (axSpA). However, e...

Aug 2022 35943339

Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection.

OBJECTIVE: Measurement and monitoring of blood pressure are of great importance for preventing disea...

Jul 2022 35903432

A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection.

Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research co...

Jul 2022 35874982

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.

Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enl...

Jul 2022 35857625

Photoplethysmogram based vascular aging assessment using the deep convolutional neural network.

Arterial stiffness due to vascular aging is a major indicator during the assessment of cardiovascula...

Jul 2022 35790836

XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging.

The purpose of this study was to confirm the potential of XGBoost as a vascular aging assessment mod...

Jul 2022 35157602

Performance of artificial intelligence for biventricular cardiovascular magnetic resonance volumetric analysis in the clinical setting.

Cardiovascular magnetic resonance (CMR) derived ventricular volumes and function guide clinical deci...

Jun 2022 36434343

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.

BACKGROUND: Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular...

Jun 2022 35761339

Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure.

AIMS: Risk changes with the progression of disease and the impact of treatment. We developed a dynam...

Jun 2022 35736536

Fast and Efficient Method for Optical Coherence Tomography Images Classification Using Deep Learning Approach.

The use of optical coherence tomography (OCT) in medical diagnostics is now common. The growing amou...

Jun 2022 35808169

End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions.

The correct assessment and characterization of heart anatomy and functionality is usually done throu...

Jun 2022 35689982

Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure.

Machine learning is increasingly being used to predict clinical outcomes. Most comparisons of differ...

Jun 2022 35660759

Cardiovascular

Browse Categories

Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.

MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.

Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction.

Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning.

DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography.

Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints.

Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection.

A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection.

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.

Photoplethysmogram based vascular aging assessment using the deep convolutional neural network.

XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging.

Performance of artificial intelligence for biventricular cardiovascular magnetic resonance volumetric analysis in the clinical setting.

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.

Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure.

Fast and Efficient Method for Optical Coherence Tomography Images Classification Using Deep Learning Approach.

End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions.

Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure.

Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images.

Integrated Learning Model-Based Assessment of Enteral Nutrition Support in Neurosurgical Intensive Care Patients.

Follow-Up of Robotic Mitral Valve Repair: A Single Tertiary Institution Experience in China.

Evaluating machine learning classifiers for glaucoma referral decision support in primary care settings.

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