Cardiovascular

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

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Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension.

OBJECTIVE: Congenital heart disease with pulmonary arterial hypertension (CHD-PAH), caused by CHD, i...

Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes.

BACKGROUND: Prior studies have demonstrated an association between retinal vascular features and car...

Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.

Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...

Deciphering Necroptosis-Associated Molecular Subtypes in Acute Ischemic Stroke Through Bioinformatics and Machine Learning Analysis.

Acute ischemic stroke (AIS) is a severe disorder characterized by complex pathophysiological process...

Deaf futurity: designing and innovating hearing aids.

One of the tenets of a posthuman vision is the eradication of disability through technology. Within ...

Functional antimicrobial peptide-loaded 3D scaffolds for infected bone defect treatment with AI and multidimensional printing.

Infection is the most prevalent complication of fractures, particularly in open fractures, and often...

Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects.

BACKGROUND: Arrhythmia is a frequent complication following transcatheter device closure of perimemb...

Segmentation and Vascular Vectorization for Coronary Artery by Geometry-Based Cascaded Neural Network.

Segmentation of the coronary artery is an important task for the quantitative analysis of coronary c...

Quantitative imaging for early detection and risk stratification of cardiovascular disease using 4D flow MRI and arterial spin labelling.

Heart failure (HF) significantly burdens global healthcare, necessitating early detection and precis...

Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers.

This study proposes a framework to stratify vascular disease patients based on brain health and cere...

Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model.

BACKGROUND: Acute myocardial infarction (AMI) remains a leading cause of hospitalization and death i...

The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review.

BACKGROUND: Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosi...

Research on multi-label recognition of tongue features in stroke patients based on deep learning.

Stroke has become the leading cause of disability in adults worldwide. Early precise rehabilitation ...

Deep-learning-based extraction of circle of Willis topology with anatomical priors.

The circle of Willis (CoW) is a circular arrangement of arteries in the human brain, exhibiting sign...

Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.

This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (...

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