Strokes

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 ...

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) rang...

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...

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 car...

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, necessita...

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 a...

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. Hemorr...

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 i...

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 compli...

Updates in Central Retinal Artery Occlusion.

BACKGROUND: Central retinal artery occlusion (CRAO) is a vision-threatening neuro-ophthalmic emergen...

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 singl...

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, ye...

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

BACKGROUND: Ambulatory blood pressure monitoring is indispensable for diagnosing nocturnal hypertens...

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...

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 indepen...

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 n...

Present state and future of screening for atrial fibrillation: a state-of-the-art review.

Atrial fibrillation (AF) is the most common arrhythmia and is a leading cause of stroke and heart fa...

Decoding cardiovascular risk in Chinese middle-aged and elderly adults: a 9-year prospective study integrating machine learning with explainable AI based on CHARLS cohort.

BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China,...

Technical Aspects and Clinical Relevance of Cuffless Devices for Blood Pressure Measurement. A Scientific Statement of the ESC Working Group on e-Cardiology, the ESC Council on Hypertension, and the European Association of Preventive Cardiology of the ESC.

Cuffless blood pressure (BP) monitoring devices represent a promising innovation in hypertension man...

Leveraging infarct topography for early warning: a robust model for predicting malignant cerebral edema after endovascular treatment in acute ischemic stroke.

BACKGROUND: The early prediction of malignant cerebral edema (MCE) following endovascular therapy fo...