Strokes

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

BACKGROUND: Postoperative acute ischemic stroke remains a critical complication of coronary artery bypass grafting. This study aimed to develop a novel Total Cerebral Atherosclerosis Burden (TCAB) score for predicting the risk of AIS post-coronary artery bypass grafting. METHODS: A prospective cohort of patients undergoing coronary artery bypass grafting was enrolled. The TCAB score was calculated...

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 has been correlated with clinical outcome and lesion age, which could aid in treatment selection. Traditional NWU measurement requires CTP, limiting its clinical applicability. We aimed to develop and evaluate an automated method to measure NWU using only NCCT and CTA. MATERIALS AND METHODS: We incl...

Multimodal CT-based imaging biomarkers for mechanical reperfusion in acute ischemic stroke.

Mechanical thrombectomy (MT) has emerged as the primary treatment for restoring blood flow in acute ischemic stroke (AIS) patients with large vessel o...

Association between fundus sex index and hypertension, diabetes mellitus, and smoking in the Kumejima study.

Fundus parameters can be used to quantify masculinity or femininity as a fundus sex index (FSI) ranging from 0 to 1. The purpose of this study was to ...

Validation of AI-enhanced ECG image analysis for identifying extreme cardiac magnetic resonance metrics in a cross-ethnic UK biobank study.

Artificial intelligence enhanced electrocardiography (AI-ECG) has shown promise in detecting cardiac abnormalities, but validation against cardiac mag...

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in cardiovascular disease (CVD) is hindered by a vast an...

An optimized machine learning model based on hematological indicators for the noninvasive identification of baicalin's therapeutic effects in pulmonary hypertension.

Pulmonary hypertension (PH) is a progressive cardiopulmonary disorder with high mortality, necessitating non-invasive methods for early detection and ...

Impedance Myography Circle Mapping: A Geometry-Based Multi-Frequency EIM Framework for Quantitative Assessment of Post-Stroke Muscle Impairment.

Post-stroke neuromuscular impairment arises from heterogeneous structural and electrophysiological alterations, including disrupted membrane integrity...

Attention-enhanced deep learning model for automated classification of hemorrhagic and ischemic stroke on CT imaging.

BACKGROUND: Stroke is a disease with extremely high mortality and disability rates worldwide. Hemorrhagic stroke and ischemic stroke require completel...

The value of triglyceride-glucose-body shape index (TyG-ABSI) in evaluating stroke: a multi-centre cross-sectional study.

BACKGROUND: Stroke is the second leading cause of disability and mortality worldwide. A body shape index (ABSI) is calculated as waist circumference /...

Integrated approaches to preventing macrovascular complications in type 2 diabetes mellitus: Advances in secondary prevention.

BACKGROUND: Type 2 diabetes mellitus (T2DM) substantially increases the risk of macrovascular complications, including coronary artery disease, cerebr...

Updates in Central Retinal Artery Occlusion.

BACKGROUND: Central retinal artery occlusion (CRAO) is a vision-threatening neuro-ophthalmic emergency, analogous to acute ischemic stroke. Delayed pr...

Efficacy of Robot-Assisted Training Plus Acupuncture Therapy on Lower Limb Functional Recovery in Stroke Patients: A Systematic Review and Meta-Analysis.

PurposeTo assess the effectiveness of robot-assisted training (RAT) plus acupuncture therapy (AT) on lower limb functional recovery in stroke patients...

Strategies for Exoskeletal Upper Limb Robot with Bio-Sensors in Stroke Rehabilitation: A Scoping Review.

Background: Upper extremity motor impairment is common after stroke. The Hybrid Assistive Limb single-joint type (HAL-SJ), an exoskeletal robot with b...

Impact of Imaging Acquisition and Protocol Variability on Artificial Intelligence Model Performance: A Secondary Analysis of the ASFNR Artificial Intelligence Competition.

BACKGROUND AND PURPOSE: Artificial intelligence (AI) models have shown promise in neuroradiology, yet their real-world generalizability remains uncert...

Predicting Nocturnal Hypertension in CKD Through Table-Value Diffusion Model.

BACKGROUND: Ambulatory blood pressure monitoring is indispensable for diagnosing nocturnal hypertension (NH) among patients with chronic kidney diseas...

Exploring key risk factors for loss to follow-up after hospitalization for acute stroke.

BACKGROUND: A significant proportion of stroke patients are lost to follow-up (LTFU) after discharge, which may increase risks of morbidity, mortality...

Prediction of recurrence and functional status in young ischemic stroke patients: Comparison of machine learning and traditional statistical methods.

Right and Left Atrial Dysfunction as Independent Cardiovascular Risk Factors: A UK Biobank Study.

BACKGROUND: Atrial cardiopathy often precedes atrial fibrillation (AF) and has emerged as an independent risk factor for cardiovascular outcomes. Howe...

Effects of Combining Modified Response Elaboration Training, Semantic Feature Analysis, and Arm Ability Training on Cognitive, Language, and Motor Recovery in Poststroke Broca's Aphasia: A Randomized Controlled Trial.

PURPOSE: Stroke survivors often face problems in language, motor, and cognitive skills because the neural networks for these functions overlap. Conseq...