Cardiovascular

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

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Machine Learning Applications in Acute Coronary Syndrome: Diagnosis, Outcomes and Management.

Acute coronary syndrome (ACS) is a leading cause of death worldwide. Prompt and accurate diagnosis o...

Serum glial fibrillary acidic protein in acute stroke: feasibility to determine stroke-type, timeline and tissue-impact.

BACKGROUND: Interest is emerging regarding the role of blood biomarkers in acute stroke. The aim of ...

Automatic segmentation of pericardial adipose tissue from cardiac MR images via semi-supervised method with difference-guided consistency.

BACKGROUND: Accurate and automatic segmentation of pericardial adipose tissue (PEAT) in cardiac magn...

Design and validation of Withings ECG Software 2, a tiny neural network based algorithm for detection of atrial fibrillation.

BACKGROUND: Atrial Fibrillation (AF) is the most common form of arrhythmia in the world with a preva...

Cell-free plasma telomere length correlated with the risk of cardiovascular events using machine learning classifiers.

This retrospective study explored the association between circulating cell-free plasma telomere leng...

AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers.

Coronary artery disease (CAD) is one of the most common causes of sudden cardiac arrest, accounting ...

Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System.

4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of ...

Topology aware multitask cascaded U-Net for cerebrovascular segmentation.

Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools d...

Leveraging a Vision Transformer Model to Improve Diagnostic Accuracy of Cardiac Amyloidosis With Cardiac Magnetic Resonance.

BACKGROUND: Cardiac magnetic resonance (CMR) imaging is an important diagnostic tool for diagnosis o...

Diagnostic Performance of Artificial Intelligence-Based Angiography-Derived Non-Hyperemic Pressure Ratio Using Pressure Wire as Reference.

BACKGROUND: The angiography-derived non-hyperemic pressure ratio (angioNHPR) is a novel index of NHP...

Machine learning evaluation of a hypertension screening program in a university workforce over five years.

The global prevalence of hypertension continues excessively elevated, especially among low- and midd...

Effects of Robot-Assisted Gait Training on Balance and Fear of Falling in Patients With Stroke: A Randomized Controlled Clinical Trial.

OBJECTIVE: The aim of this study was compare the effects of combined training, which included robot-...

A smart CardioSenseNet framework with advanced data processing models for precise heart disease detection.

Heart diseases remain one of the leading causes of death worldwide. As a result, early and accurate ...

Low dose threshold for measuring cardiac functional metrics using four-dimensional CT with deep learning.

BACKGROUND: Four-dimensional CT is increasingly used for functional cardiac imaging, including progn...

Exploring an novel diagnostic gene of trastuzumab-induced cardiotoxicity based on bioinformatics and machine learning.

Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, whic...

Genetic algorithm-based optimal design for fluidic artificial muscle (FAM) bundles.

In this paper, we present a design optimization framework for a fluidic artificial muscle (FAM) bund...

Predicting high-flow arteriovenous fistulas and cardiac outcomes in hemodialysis patients.

BACKGROUND: Heart failure is common in patients receiving hemodialysis. A high-flow arteriovenous fi...

Deep learning-based segmentation of acute ischemic stroke MRI lesions and recurrence prediction within 1 year after discharge: A multicenter study.

OBJECTIVE: To explore the performance of deep learning-based segmentation of infarcted lesions in th...

Time-frequency transformation integrated with a lightweight convolutional neural network for detection of myocardial infarction.

Myocardial infarction (MI) is a life-threatening medical condition that necessitates both timely and...

Cohort profile: AI-driven national Platform for CCTA for clinicaL and industriaL applicatiOns (APOLLO).

PURPOSE: Coronary CT angiography (CCTA) is well established for the diagnostic evaluation and progno...

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