Latest AI and machine learning research in strokes for healthcare professionals.
PURPOSE OF REVIEW: Hypertension remains a leading modifiable risk factor for cardiovascular and rena...
INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies mark...
Cognitive impairment arising from ischemic stroke, Alzheimer's disease, and Parkinson's disease pres...
OBJECTIVES: Accurate blood pressure measurement is essential for cardiovascular risk management, but...
INTRODUCTION: Accurately identifying unfavorable outcomes is crucial for the clinical management of ...
OBJECTIVE: This narrative review synthesizes machine learning (ML) applications across the stroke an...
OBJECTIVE: AI models are increasingly adopted in clinical practice, yet their generalizability outsi...
OBJECTIVE: Estimating early lesion progression in ischemic stroke is essential for assessing thrombo...
BACKGROUND AND PURPOSE: The rapid integration of artificial intelligence (AI) into stroke care has o...
BACKGROUND: Botulism is a rare but potentially fatal illness caused by botulinum neurotoxin, with ou...
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia affecting over 50 million individuals wor...
Patients with atrial fibrillation (AF) following transcatheter aortic valve replacement (TAVR) remai...
BACKGROUND: Stroke poses a significant health burden among hypertensive patients, where traditional ...
Adverse events and medication-related errors are common with anticoagulants. Heparin infusions are f...
Carotid artery stenosis (CAS) is a major contributor to ischemic stroke, and molecular tools for its...
BACKGROUND: Hypertension is a major contributor to cardiovascular morbidity and mortality. Its heter...
Stroke remains a leading cause of mortality and long-term disability worldwide, where rapid diagnosi...
BACKGROUND: Several omics methods have been successfully used in hypertension prediction. However, t...
OBJECTIVES: Alpha-1-antitrypsin deficiency (AATD) is a rare genetic disorder leading to chronic obst...
OBJECTIVES: To compare machine learning models using different combinations of clinical and imaging ...
INTRODUCTION: Identifying patient characteristics predictive of treatment response is crucial for op...