Cardiovascular

The role of computational modeling in enhancing thermal safety during cardiac ablation.

OBJECTIVE: In this narrative review, we aim to provide an analysis of current cardiac ablation techn...

Forecasting the fall: the role of machine learning in predicting intraoperative hypotension, a scoping review.

INTRODUCTION: Intraoperative hypotension is associated with increased risk of postoperative mortalit...

Reply to "Have Your Cake and Eat It Too: Artificial Intelligence and Tailored Cardiac MRI Protocols".

Have Your Cake and Eat It Too: Artificial Intelligence and Tailored Cardiac MRI Protocols.

Can Artificial Intelligence Replace Human Peer Review in Cardiovascular Journals?

Challenges in the Management of Stroke in Intensive Care Units in Low- and Middle-Income Countries.

Despite numerous advances in stroke care over the last decades, financial and structural barriers li...

Cardiovascular Indexes and Oxidative Balance in Advanced Cardiovascular-Kidney-Metabolic Syndrome.

OBJECTIVE: The cardiovascular-kidney-metabolic (CKM) syndrome lacks clear strategies for risk reduct...

Necl-4/CADM4 regulates GABAergic synaptic strength on GABAergic inhibitory neurons via ErbB4 activation and prevents neuronal impairments.

Neural networks comprise excitatory and inhibitory neurons, linked through excitatory and inhibitory...

Diabetes and longitudinal changes in deep learning-derived measures of vertebral bone mineral density using conventional CT: the Multi-Ethnic Study of Atherosclerosis.

OBJECTIVE: To investigate the longitudinal association between diabetes and changes in vertebral bon...

Candesartan Mitigates Perioperative Neurocognitive Disorders by Modulating Hypertension-Linked Neuroinflammatory Factor.

Perioperative neurocognitive disorders (PND) are linked to neuroinflammation, a key factor in hypert...

Response by Hijazi et al to Letter Regarding Article, "Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure".

Emergency medical services providers' perspectives on the use of artificial intelligence in prehospital identification of stroke- a qualitative study in Norway and Sweden.

BACKGROUND: Stroke is a large and increasing health challenge, leading to acquired physical disabili...

Rapid vessel segmentation and reconstruction of head and neck angiograms from MR vessel wall images.

Three-dimensional magnetic resonance vessel wall imaging (3D MR-VWI) is critical for characterizing ...

Non-Invasive Bedside Approaches for Assessing Microvascular Dysfunction.

Microvascular dysfunction is implicated in a range of acute and chronic conditions, ranging from car...

PDSNet: Patient-Disease Dual Spatial Similarity Neural Networks for Predicting Heart Failure Risk Using Short Electronic Health Records.

Heart failure (HF) is a complex and heterogeneous syndrome caused by diverse factors, such as atrial...

Failure of standard contemporary ST-elevation myocardial infarction electrocardiogram criteria to reliably identify acute occlusion of the left anterior descending coronary artery.

AIMS: ST-elevation (STE) criteria on the electrocardiogram (ECG) are poorly sensitive for acute coro...

Connectomic stroke lesion measures provide no benefit over basic spatial lesion features in the prognosis of global stroke outcome measures.

The prediction of stroke outcome from imaging markers could be used to guide individualized therapeu...

Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality and morbidity in China an...

Differential effects of demographics and risk factors on the nonlinear orthotropic mechanical properties of human femoropopliteal arteries.

Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...

Artificial Intelligence-Enabled Short-Term Ambulatory Monitoring ECG during Sinus Rhythm for Prediction of Hidden Atrial Fibrillation.

BACKGROUND: Screening of asymptomatic/occult atrial fibrillation (AF) remains challenging. This stud...

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifyi...