Latest AI and machine learning research in strokes for healthcare professionals.
BACKGROUND: Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-free, and cost-effective detection remains a challenge. This study evaluates Hyperspectral Imaging (HSI) combined with AI to detect OS by identifying changes in red blood cell (RBC) membranes. METHODS: An OS model for the HSI procedure is established by treating EDTA-anticoagulated whole blood with ...
OBJECTIVES: Early sepsis and stroke recognition by emergency medical services (EMS) improves triage, treatment, and patient outcomes. Machine learning (ML) may enhance EMS sepsis and stroke screening by connecting complex patterns in routinely collected EMS electronic health record (EHR) data, yet research on the application of ML to EMS remains limited. This study evaluated the feasibility and pe...
BACKGROUND: Diffusion-weighted imaging (DWI) infarct volume and infarct growth are important imaging biomarkers in patients with acute ischemic stroke...
Dyspnea is the subjective sensation of breathing discomfort. This symptom is highly prevalent in patients with chronic and critical illness, and its p...
Butylphthalide (NBP) is a lipophilic small-molecule drug characterized by its multi-target and multi-pathway regulatory properties. Initially employed...
Imaging after ischemic and hemorrhagic stroke may allow measurement of key phenotypes of injury and recovery for which targeted therapies are still la...
BACKGROUND AND PURPOSE: Ischemic stroke remains a leading cause of long-term disability and persistent motor deficits. While neuroplasticity drives po...
BACKGROUND: Reading impairments are common in stroke-induced aphasia and limit participation in functional and leisure activities. Traditional rehabil...
PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI). Although anti-thrombotic therapy is the mainstay...
Atherosclerosis, a major cause of adverse cardiovascular events and mortality rates worldwide, stems from sustained lipid accumulation and subsequent ...
Splenectomy remains a common operation performed in the setting of trauma, haematological disease, malignancy and diagnostic purposes. Contemporary ev...
PURPOSE: Evaluation of the impact of Deep Learning Image Reconstruction (DLIR) compared to Adaptive Statistical Iterative Reconstruction-Veo (ASIR-V) ...
Mediation analysis decomposes the causal effect of a treatment on an outcome into an indirect effect, mediated through intermediate variables, and a d...
PURPOSE OF REVIEW: Tuberculous meningitis (TBM) is a severe manifestation of Mycobacterium tuberculosis infection, associated with high mortality and ...
BACKGROUND: The AI-CVD initiative aims to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. Altho...
BACKGROUND: Preserved ratio impaired spirometry (PRISm), defined by reduced FEV1 with preserved FEV1/FVC ratio, has been linked to cardiometabolic dis...
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia associated with an increased risk of stroke and heart failure. AF is often ...
Capsule endoscopy has transformed small bowel evaluation but remains limited for gastric examination because of passive, peristalsis dependent movemen...
Carotid atherosclerosis is a major cause of ischemic stroke, historically managed according to luminal stenosis severity. However, stenosis alone fail...
Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHAâ‚‚DSâ‚‚-VASc, o...