Strokes

Association between plain water intake and risk of hypertension: longitudinal analyses from the China Health and Nutrition Survey.

OBJECTIVE: This study aimed to investigate the prospective association between plain water intake an...

An interpretable machine learning model for stroke recurrence in patients with symptomatic intracranial atherosclerotic arterial stenosis.

BACKGROUND AND OBJECTIVE: Symptomatic intracranial atherosclerotic stenosis (SICAS) is the most comm...

The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review.

BACKGROUND: The emergence of artificial intelligence (AI) has significantly influenced the diagnosti...

Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training with conventional rehabilitation.

Factors affecting the efficiency of walking independence in patients with subacute stroke following ...

Application of eHealth Tools in Anticoagulation Management After Cardiac Valve Replacement: Scoping Review Coupled With Bibliometric Analysis.

BACKGROUND: Anticoagulation management can effectively prevent complications in patients undergoing ...

Prediction of stroke patients' bedroom-stay duration: machine-learning approach using wearable sensor data.

The importance of being physically active and avoiding staying in bed has been recognized in stroke...

Response to Letter Regarding the Article "Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model".

Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation.

Measuring the daily use of an affected limb after hospital discharge is crucial for hemiparetic stro...

Using Generative Artificial Intelligence to Classify Primary Progressive Aphasia from Connected Speech.

Neurodegenerative dementia syndromes, such as Primary Progressive Aphasias (PPA), have traditionally...

Novel Modular Walking Orthosis (MOWA) for Powerful Correction of Gait Deviations in Subjects with a Neurological Disease.

This article introduces a novel concept where advanced technologies have been leveraged to produce a...

Machine Learning Insights Into Uric Acid Elevation With Thiazide Therapy Commencement and Intensification.

Background Elevated serum uric acid, associated with cardiovascular conditions such as atherosclerot...

Short-Term Outcome of Isolated Kidney Transplantation in Children with Autosomal Recessive Polycystic Kidney Disease: A Case Series and Literature Review.

Autosomal recessive polycystic kidney disease (ARPKD) is often associated with hepatobiliary disease...

Modulates Platelet Aggregation and Thrombus Formation by Regulating the Glycoprotein VI-Mediated Signalosome in Mice.

(SA) has long been used as a traditional medicine in China, Japan, and Korea to treat a wide range ...

Precision Hypertension.

Hypertension affects >1 billion people worldwide. Complications of hypertension include stroke, rena...

A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients.

BACKGROUND: Haemorrhage transformation (HT) is a serious complication of intravenous thrombolysis (I...

Bilateral upper limb robot-assisted rehabilitation improves upper limb motor function in stroke patients: a study based on quantitative EEG.

BACKGROUND: Upper limb dysfunction after stroke seriously affects quality of life. Bilateral trainin...

Stroke classification and treatment support system artificial intelligence for usefulness of stroke diagnosis.

BACKGROUND AND AIMS: It is important to diagnose cerebral infarction at an early stage and select an...

Deep Learning-Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging.

BACKGROUND AND PURPOSE: Time-resolved MRA enables collateral evaluation in acute ischemic stroke wit...

Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment.

In this narrative review, we survey recent empirical evaluations of AI-based language assessments an...

Identification of novel biomarkers and immune infiltration characteristics of ischemic stroke based on comprehensive bioinformatic analysis and machine learning.

BACKGROUND: Ischemic stroke (IS) is one of most common causes of disability in adults worldwide. How...

Anticoagulation management in elderly patients with proximal femur fractures - overview of current concepts.

OBJECTIVES: Proximal femur fractures (PFF) are common injuries in elderly patients and can have cons...