Cardiovascular

Cost-effectiveness analysis of robotic exoskeleton versus conventional physiotherapy for stroke rehabilitation in Singapore from a health system perspective.

OBJECTIVES: This study conducted a comprehensive probabilistic cost-effectiveness analysis comparing...

Deep Learning based Collateral Scoring on Multi-Phase CTA in patients with acute ischemic stroke in MCA region.

BACKGROUND AND PURPOSE: Collateral circulation is a critical determinant of clinical outcomes in acu...

Usefulness of compressed sensing coronary magnetic resonance angiography with deep learning reconstruction.

PURPOSE: Coronary magnetic resonance angiography (CMRA) scans are generally time-consuming. CMRA wit...

Artificial Intelligence-Enabled Point-of-Care Echocardiography: Bringing Precision Imaging to the Bedside.

PURPOSE OF REVIEW: The integration of artificial intelligence (AI) with point-of-care ultrasound (PO...

Evaluation of AI-based detection of incidental pulmonary emboli in cardiac CT angiography scans.

Incidental pulmonary embolism (PE) is detected in 1% of cardiac CT angiography (CCTA) scans, despite...

A computational study of cardiac glycosides from Vernonia amygdalina as PI3K inhibitors for targeting HER2 positive breast cancer.

The PI3K/Akt pathway plays a crucial role in regulating a broad network of proteins involved in the ...

Multimodal Optical Imaging Combined with Radiomic Analysis for Fibrotic Cardiac Tissue Investigation.

Understanding the process of fibrotic scarring of the myocardium is critical for the diagnosis and r...

Artifact-robust Deep Learning-based Segmentation of 3D Phase-contrast MR Angiography: A Novel Data Augmentation Approach.

This study presents a novel data augmentation approach to improve deep learning (DL)-based segmentat...

Neuroimaging and biological markers of different paretic hand outcomes after stroke.

BACKGROUND: Hand dysfunction significantly affects independence after stroke, with outcomes varying ...

Early warning and stratification of the elderly cardiopulmonary dysfunction-related diseases: multicentre prospective study protocol.

INTRODUCTION: In China, there is a lack of standardised clinical imaging databases for multidimensio...

Research on transcranial magnetic stimulation for stroke rehabilitation: a visual analysis based on CiteSpace.

OBJECTIVE: This study aimed to analyze recent research and emerging trends in transcranial magnetic ...

AI-ECG for early detection of atrial fibrillation: First-year results from a stroke prevention study in Shimizu, Japan.

BACKGROUND: An artificial intelligence algorithm-guided electrocardiogram (AI-ECG) has been develope...

Transcriptomic and single-cell insights into mitochondrial genes NDUFA8, ECI2, and ACADM in acute myocardial infarction.

Mitochondrial function plays a crucial role in understanding the pathogenesis of acute myocardial in...

Exploring advanced deep learning approaches in cardiac image analysis: A comprehensive review.

BACKGROUND: Cardiac image analysis plays an important role in detecting and categorizing cardiovascu...

Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis.

BACKGROUND: Delays in the diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) contribute to ...

Effects of device-assisted practice of activities of daily living in a close-to-normal pattern on upper extremity motor recovery in individuals with moderate to severe stroke: study protocol of a randomized control trial.

BACKGROUND: The majority of individuals with chronic stroke have residual upper extremity (UE) disab...

Machine learning-based prognostic prediction for acute ischemic stroke using whole-brain and infarct multi-PLD ASL radiomics.

INTRODUCTION: Accurate early prognostic prediction for acute ischemic stroke (AIS) is essential for ...

Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.

BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex i...

Publisher Correction: Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation.

5-Hydroxymethylcytosine signatures as diagnostic biomarkers for septic cardiomyopathy.

At present, there are currently no molecular biomarkers for the early diagnosis of sepsis cardiomyop...

Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis.

The analysis of medical imaging reports is labour-intensive but crucial for accurate diagnosis and e...