Cardiovascular

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

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Identification and validation of the diagnostic biomarker MFAP5 for CAVD with type 2 diabetes by bioinformatics analysis.

INTRODUCTION: Calcific aortic valve disease (CAVD) is increasingly prevalent among the aging populat...

Integration of Microarray Data and Single-Cell Sequencing Analysis to Explore Key Genes Associated with Macrophage Infiltration in Heart Failure.

BACKGROUND: Cardiac macrophages are a heterogeneous population with high plasticity and adaptability...

Detection of late gadolinium enhancement in patients with hypertrophic cardiomyopathy using machine learning.

BACKGROUND: Late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) in hypertrophic ca...

Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK Biobank.

BACKGROUND AND AIMS: An in silico quantitative score of coronary artery disease (ISCAD), built using...

Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using machine learning.

AIMS: Atrial fibrillation (AF) is the most common sustained arrhythmia among patients with hypertrop...

Quantitative analysis of deep learning reconstruction in CT angiography: Enhancing CNR and reducing dose.

BACKGROUND: Computed tomography angiography (CTA) provides significant information on image quality ...

Radiomics and deep learning features of pericoronary adipose tissue on non-contrast computerized tomography for predicting non-calcified plaques.

BACKGROUND: Inflammation of coronary arterial plaque is considered a key factor in the development o...

Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements.

BACKGROUND: Cardiac amyloidosis (CA) is an underdiagnosed, progressive and lethal disease. Machine l...

Arrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms.

The automatic detection of arrhythmia is of primary importance due to the huge number of victims cau...

Machine Learning-Based Model for Prediction of Post-Stroke Cognitive Impairment in Acute Ischemic Stroke: A Cross-Sectional Study.

BACKGROUND AND OBJECTIVE: Early identification of post-stroke cognitive impairment (PSCI) is an impo...

A novel recommender framework with chatbot to stratify heart attack risk.

Cardiovascular diseases are a major cause of mortality and morbidity. Fast detection of life-threate...

Short-Term Intermittent Normobaric Hypoxia Combined with Light Exercise Improves Acclimatization of Cardiorespiratory Function in Inactive Adults.

BACKGROUND: Un-acclimatized individuals may experience acute altitude illness. Thus, the current stu...

Advances in deep learning for personalized ECG diagnostics: A systematic review addressing inter-patient variability and generalization constraints.

The Electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its interpretatio...

Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants.

OBJECTIVE: To develop and validate a machine learning model incorporating dietary antioxidants to pr...

Blood Pressure Estimation Using Explainable Deep-Learning Models Based on Photoplethysmography.

BACKGROUND: Due to their invasiveness, arterial lines are not typically used in routine monitoring, ...

Engineering of Generative Artificial Intelligence and Natural Language Processing Models to Accurately Identify Arrhythmia Recurrence.

BACKGROUND: Large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT) e...

Utility of an Echocardiographic Machine Learning Model to Predict Outcomes in Intensive Cardiac Care Unit Patients.

INTRODUCTION: The risk stratification at admission to the intensive cardiac care unit (ICCU) is cruc...

ECG-based machine learning model for AF identification in patients with first ischemic stroke.

BACKGROUND: The recurrence rate of strokes associated with atrial fibrillation (AF) can be substanti...

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