Latest AI and machine learning research in strokes for healthcare professionals.
Organic materials have been widely recognized as highly promising candidates for two-photon absorpti...
BACKGROUND: Conventional bleeding risk scores after percutaneous coronary intervention (PCI) have li...
BACKGROUND: Artificial intelligence (AI) can improve stroke imaging workflows, but its computational...
BACKGROUND: To examine associations between accelerometer-derived "weekend warrior" (WW) physical ac...
BACKGROUND AND PURPOSE: Traditional imaging methods, like CT angiography (CTA), are unable to visual...
Sedation is frequently required in the acute management of ischemic stroke (AIS), yet its potential ...
BACKGROUND: The artificial intelligence-assisted ASPECTS (AI-ASPECTS) system has become an increasin...
BACKGROUND: The retina shares developmental origin, microvascular anatomy, and barrier physiology wi...
PURPOSE: We aimed to develop a machine learning model to predict activities of daily living (ADL) at...
Achieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical cha...
INTRODUCTION: Acute ischemic stroke (AIS) represents a major global contributor to mortality and chr...
BACKGROUND: There is a certain correlation between left ventricular non-compaction (LVNC) and ischem...
BACKGROUND: Dizziness and vertigo are common emergency department (ED) presentations, but only 2%-5%...
Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular event...
Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitali...
Purpose To develop and validate an end-to-end autonomous platform for the quantification and visuali...
IMPORTANCE: Understanding how upper extremity (UE) robotic therapy (RT) affects efficiency and effec...
This study aims to investigate the association between triglyceride-glucose (TyG) index and risk of ...
INTRODUCTION: Transcatheter aortic valve replacement (TAVR) has transformed the management of severe...
BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias. It reduces quali...
BACKGROUND: Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, affects 2% to 4% of the...