(1) Objective: This study aimed to construct a machine learning model for predicting the
prognosis of ischemic stroke patients who underwent thrombolysis, assessed through the …

Background Stroke is a significant global health burden and ranks as the second leading
cause of death worldwide. Objective This study aims to develop and evaluate a machine …

Importance Outcome prediction after endovascular treatment (EVT) for ischemic stroke is
important to patients, family members, and physicians. Objective To develop and validate a …

Objectives Predicting stroke mortality is crucial for personalized care. This study aims to
design and evaluate a machine learning model to predict one-year mortality after a stroke …

Background The pRESET stent retriever is a self-expanding nitinol stent designed for
mechanical thrombectomy in cases of large vessel occlusion during acute ischemic stroke …

Abstract Background/Purpose Multiple clinical factors have been reported to be associated
with functional outcomes in patients with stroke. However, little is known about prognostic …

Background Endovascular clot retrieval (ECR) is known to reduce global disability at 3
months post stroke however limited research exists regarding the trajectory of specific …

Background: Accurate prediction of mortality following an ischemic stroke is essential for
tailoring personalized treatment strategies. This study evaluates the effectiveness of …

Objectives Despite being the current standard of care, outcomes after endovascular
thrombectomy (EVT) for acute ischemic stroke (AIS) remain highly variable. Though several …

Background: Accurate prediction of mortality following an ischemic stroke is essential for
tailoring personalized treatment strategies. This study evaluates the effectiveness of …