Latest AI and machine learning research in strokes for healthcare professionals.
Understanding the relevance of covert cerebrovascular disease (CCD) for later health will allow clin...
Adherence to oral anticoagulants (OACs) for atrial fibrillation (AF) stroke prevention is traditiona...
Magnetic Resonance Diffusion-Weighted Imaging (DWI) is a crucial tool for diagnosing acute ischemic ...
With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs...
Large Language Models (LLMs) offer promising applications in healthcare, including drafting referral...
Precision-guided dual antiplatelet therapy (DAPT) duration post-percutaneous coronary intervention (...
In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantitative, non-i...
Stroke care generates vast free-text records that slow chart review and hamper data reuse. Large lan...
Medication non-adherence remains a significant challenge in managing chronic conditions like diabete...
Recent advances in the treatment of acute ischemic stroke contribute to improved patient outcomes, y...
Although artificial intelligence–enhanced electrocardiography (AI-ECG) has shown promise in detectin...
Determination of cardiac output (CO) is essential to the clinical management of cardiovascular compr...
Postoperative atrial fibrillation (PoAF) is known as common coronary artery bypass grafting (CABG) c...
Post-stroke pain (PSP) affects nearly half of stroke survivors, severely compromising quality of lif...
Stroke is one of the leading causes of death and long-term disability globally. Several studies have...
Individuals with left-hemisphere damage (LHD), right-hemisphere damage (RHD), dementia, mild cogniti...
OSA and MetS have a bidirectional relationship but increasing evidence suggests metabolic heterogene...
Recovery from aphasia after stroke is thought to depend on functional reorganization of language pro...
Acute ischemic stroke (AIS) management has evolved substantially over the past two decades, with mec...
Ischemic stroke in young adults is a significant social and economic burden. Machine learning (ML) t...
Acute stroke alerts are often activated for non-cerebrovascular conditions, leading to false positiv...