Strokes

Predicting infarct outcomes after extended time window thrombectomy in large vessel occlusion using knowledge guided deep learning.

BACKGROUND: Predicting the final infarct after an extended time window mechanical thrombectomy (MT) ...

Automated CTA-Derived Collateral Grading and Morphologic Metrics for Enhanced Prediction of Post-Stroke Outcomes.

BACKGROUND AND PURPOSE: Collateral circulation is a key determinant of treatment response and outcom...

The Quality of Artificial Intelligence Chatbot Responses to Patient Questions on Surgical Infection Prevention.

BACKGROUND: As patients increasingly turn to artificial intelligence (AI) chatbots for medical infor...

Evolutionary-Based Deep Learning Network Model using Adaptive Mixing Differential Evolution and Application in Acute Pulmonary Embolism.

INTRODUCTION: Acute pulmonary embolism (APE) is characterized by high incidence and mortality, along...

Language-Related Functional Connectivity in Post-Stroke Aphasia: Preliminary Findings from a Graph-Theoretical and Interpretable Machine Learning Study.

PURPOSE: To have an insight into language-related functional connectivity in post-stroke aphasia (PS...

Cross-Platform Proteomics and Machine Learning Algorithms Nominate Plasma Biomarkers of Stroke Diagnosis.

BACKGROUND: Blood-based biomarkers for stroke subtyping could improve triage in emergency settings. ...

Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation.

BACKGROUND: Stroke remains one of the leading causes of mortality and long-term disability worldwide...

Clinical Impact of Postrecanalization Hemorrhagic Transformation and Its Prediction Using Baseline Noncontrast CT.

BACKGROUND: Hemorrhagic transformation (HT) after recanalization therapy remains a critical concern ...

Effects of long-term exposure to nitrogen dioxide with cardiovascular mortality: Evidence from a nationwide cohort study.

Nitrogen dioxide (NO2) is a significant ambient pollutant whose independent health effects have not ...

Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning.

Stroke is a major cause of motor disability, degrading walking and quality of life. Wearable gait an...

Precise oxygen therapy to emphysema patients by fuzzy-based gain tuning control of set-point regulated MRAC.

Emphysema, a primary component of chronic obstructive pulmonary disease (COPD), causes progressive d...

Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass.

BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of ele...

Mixture-of-Skip-Connection Deep Learning Model to Classify Stroke Severity from Diffusion Weighted Imaging Based on NIHSS.

The National Institutes of Health Stroke Scale (NIHSS) is a quantitative tool, grading neurological ...

Single-cell and multi-omics analysis identifies mitophagy-related biomarkers and therapeutic targets in ischemic stroke.

Ischemic stroke (IS) remains a leading cause of death and disability, with limited effective treatme...

Integrated prognostic evaluation of TyG and TyG-BMI in critically ill patients with comorbid atrial fibrillation and ischemic stroke using machine learning.

PAH-former: Transfer learning for efficient discovery of pulmonary arterial hypertension-associated genes.

BACKGROUND AND AIMS: Pulmonary arterial hypertension (PAH) is a severe disease with limited effectiv...

Automated detection of new cerebral infarctions and prognostic implications using deep learning on serial MRI.

We developed and externally validated a deep learning model to automatically detect new ischemic les...

Time-frequency-spatial channel attention network for semantic decoding: an exploratory EEG study.

Semantic decoding is a crucial approach for investigating the neural mechanisms underlying language ...

Heterogeneous associations of a mobile health-based disease management program on uncontrolled hypertension: A target trial emulation study.

Long-term effectiveness of digital health interventions for hypertension remains unclear, particular...

Machine Learning-Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG.

BACKGROUND: Postoperative acute ischemic stroke remains a critical complication of coronary artery b...

CTP-Free Method for Automated Lesion Water Uptake in Acute Ischemic Stroke.

BACKGROUND AND PURPOSE: Net water uptake (NWU) in the infarct core of patients with ischemic stroke ...