Latest AI and machine learning research in strokes for healthcare professionals.
BACKGROUND: Postoperative cerebral infarction (POCI) is an uncommon but potentially fatal complicati...
Recurrent ischemic stroke remains a major global health challenge, accounting for substantial disabi...
AIMS: Evidence regarding statin adherence among patients with hypertension in primary care is limite...
AIMS: Atherosclerosis is currently evaluated by imaging, but scalable circulating biomarkers to dete...
Bioactive compounds derived from natural products (NPs) continue to attract considerable scientific ...
Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality...
INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a ...
BACKGROUND: Synaptic collapse drives severe neurological deficits following cerebral ischemia-reperf...
BACKGROUND: Aortic coarctation (CoA) is a major cause of arterial hypertension in young individuals,...
Kidney stone disease (KSD) is increasingly prevalent among patients with diabetes mellitus and hyper...
BACKGROUND: Acute ischemic stroke is a time-critical neurological emergency in which imaging directl...
OBJECTIVE: To evaluate determinants of first-pass reperfusion and to develop an explainable machine ...
Triple-negative breast cancer (TNBC) patients often ential hypertension, yet how systemic vascular s...
Motor imagery (MI)-based brain-computer interface (BCI) systems offer a promising approach for post-...
BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, wi...
Introduction Identifying the cause of MCA occlusion before endovascular treatment (EVT) in acute isc...
Low-field (LF) magnetic resonance imaging (MRI) plays a crucial role in assisting clinicians with ra...
BACKGROUND: The prevalence of post-traumatic stress disorder (PTSD) among South Korean firefighters ...
INTRODUCTION: Cellular senescence, involving cell-cycle arrest and inflammatory factor release, may ...
PURPOSE: Large language model (LLM)-driven conversational agents are increasingly considered for use...
BACKGROUND: Timely hospital admission is a prerequisite for effective acute stroke management, yet a...