Cardiovascular

Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation....

Searching for peripheral proteomic markers of primary aldosteronism.

PURPOSE: Primary aldosteronism (PA) is prevalent among hypertensive patients, and associated with wo...

The 2024 ESC guidelines on atrial fibrillation: essential updates for everyday clinical practice.

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia, and it is associated with substan...

Long-term prognostic value of the CT-derived fractional flow reserve combined with atherosclerotic burden in patients with non-obstructive coronary artery disease.

OBJECTIVES: The long-term prognostic significance of the coronary computed tomography angiography (C...

Towards Artificial Intelligence-based Decision Support for Large-scale Screening for Atrial Fibrillation.

Atrial fibrillation is a prevalent cardiac arrhythmia, significantly increasing the risk of stroke, ...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

Left ventricular systolic dysfunction screening in muscular dystrophies using deep learning-based electrocardiogram interpretation.

BACKGROUND: Routine echocardiographic monitoring is recommended in muscular dystrophy patients to de...

CT derived fractional flow reserve: Part 2 - Critical appraisal of the literature.

The integration of computed tomography-derived fractional flow reserve (CT-FFR), utilizing computati...

Precision-Optimised Post-Stroke Prognoses.

BACKGROUND: Current medicine cannot confidently predict who will recover from post-stroke impairment...

Clinical correlates of data-driven subtypes of deep gray matter atrophy and dopamine availability in early Parkinson's disease.

Recent machine-learning techniques may be useful to identify subtypes with distinct spatial patterns...

A multimodal dataset for coronary microvascular disease biomarker discovery.

Coronary microvascular disease (CMD), particularly prevalent among women, is associated with increas...

Minimizing human-induced variability in quantitative angiography for a robust and explainable AI-based occlusion prediction in flow diverter-treated aneurysms.

BACKGROUND: Bias from contrast injection variability is a significant obstacle to accurate intracran...

Prognostic value of iron-metabolism biomarkers in critically ill patients with atrial fibrillation: a machine learning-based retrospective cohort study.

Iron homeostasis may significantly impact outcomes in critically ill patients with atrial fibrillati...

Radiomics and machine learning for predicting valve vegetation in infective endocarditis: a comparative analysis of mitral and aortic valves using TEE imaging.

BACKGROUND: Detecting valve vegetation in infective endocarditis (IE) poses challenges, particularly...

Current status and challenges of minimally invasive ultrasound thermal ablation technology.

Image-guided minimally invasive ultrasound thermal ablation has been widely studied for disease trea...

Predicting Stroke-Associated Pneumonia in Acute Ischemic Stroke: A Machine Learning Model Development and Validation Study with CBC-Derived Inflammatory Indices.

PURPOSE: Stroke-associated pneumonia (SAP), a critical complication of ischemic stroke, significantl...

Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury ...

Identification of neurological text markers associated with risk of stroke.

BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural...

Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis.

BACKGROUND: Acute myocardial infarction (AMI) is a leading cause of morbidity and mortality worldwid...

Artery fragment guided approach for enhancing cerebral aneurysm detection in TOF-MRA imaging.

BACKGROUND: Cerebral aneurysms are a type of cerebrovascular disease that poses a severe threat to l...

Letter to the editor: Prediction of adverse cardiovascular events in children using artificial intelligence-based electrocardiogram.