Cardiovascular

Latest AI and machine learning research in cardiovascular for healthcare professionals.

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Enhancing amide proton transfer imaging in ischemic stroke using a machine learning approach with partially synthetic data.

Amide proton transfer (APT) imaging, a technique sensitive to tissue pH, holds promise in the diagno...

A machine-learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs.

BACKGROUND: The presence and intensity of heart murmurs are sensitive indicators of several cardiac ...

Machine Learning for Localization of Premature Ventricular Contraction Origins: A Review.

Premature ventricular contraction (PVC) is one of the most common arrhythmias, originating from ecto...

Automated AI-based coronary calcium scoring using retrospective CT data from SCAPIS is accurate and correlates with expert scoring.

OBJECTIVES: Evaluation of the correlation and agreement between AI and semi-automatic evaluations of...

Assessment of machine learning classifiers for predicting intraoperative blood transfusion in non-cardiac surgery.

BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative ...

Diagnostic performance of single-lead electrocardiograms for arterial hypertension diagnosis: a machine learning approach.

Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascul...

Rhythm-Ready: Harnessing Smart Devices to Detect and Manage Arrhythmias.

PURPOSE OF REVIEW: To survey recent progress in the application of implantable and wearable sensors ...

Contour-constrained branch U-Net for accurate left ventricular segmentation in echocardiography.

Using echocardiography to assess the left ventricular function is one of the most crucial cardiac ex...

Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports.

BACKGROUND: Incidental findings of aortic aneurysms (AAs) often go unreported, and established patie...

Diagnostic accuracy of artificial intelligence for identifying systolic and diastolic cardiac dysfunction in the emergency department.

INTRODUCTION: Cardiac point-of-care ultrasound (POCUS) can evaluate for systolic and diastolic dysfu...

Identification of novel biomarkers for atherosclerosis using single-cell RNA sequencing and machine learning.

Atherosclerosis (AS) is a predominant etiological factor in numerous cardiovascular diseases, with i...

Activation of a Soft Robotic Left Ventricular Phantom Embedded in a Closed-Loop Cardiovascular Simulator: A Computational and Experimental Analysis.

PURPOSE: Cardiovascular simulators are used in the preclinical testing phase of medical devices. The...

Comparing ensemble learning algorithms and severity of illness scoring systems in cardiac intensive care units: a retrospective study.

BACKGROUND: Beatriz Nistal-Nuño designed a machine learning system type of ensemble learning for pat...

Deep learning assists early-detection of hypertension-mediated heart change on ECG signals.

Arterial hypertension is a major risk factor for cardiovascular diseases. While cardiac ultrasound i...

A machine learning algorithm for creating isotropic 3D aortic segmentations from routine cardiac MR localizers.

BACKGROUND: The identification and measurement of aortic aneurysms is an important clinical problem....

Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis.

INTRODUCTION: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degene...

Comparative Scoping Review: Robot-Assisted Upper Limb Stroke Rehabilitation in Low- and Middle-Income Countries Versus High-Income Nations.

OBJECTIVE: To examine robotic interventions for upper limb rehabilitation poststroke, focusing on ge...

HAGMN-UQ: Hyper association graph matching network with uncertainty quantification for coronary artery semantic labeling.

Coronary artery disease (CAD) is one of the leading causes of death worldwide. Accurate extraction o...

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