Ischemic stroke research has enabled significant advancements in diagnosis, treatment, and
management of this debilitating disease, yet challenges remain standing in the way of better …

Background Clinical outcome prediction based on acute-phase ischemic stroke data is
valuable for planning health care resources, designing clinical trials, and setting patient …

BACKGROUND: Clinicians need simple and highly predictive prognostic scores to assist
practical decision-making. We aimed to develop a simple outcome prediction score applied …

BACKGROUND AND PURPOSE: Predicting long-term clinical outcome in acute ischemic
stroke is beneficial for prognosis, clinical trial design, resource management, and patient …

Objective Predicting long‐term functional outcomes shortly after a stroke is challenging,
even for experienced neurologists. Therefore, we aimed to evaluate multiple machine …

When the National Institute of Neurology Disorders and Stroke recombinant tissue
plasminogen activator stroke work group developed the now ubiquitous National Institutes of …

Introduction The recently developed MR-PREDICTS@ 24 h model showed excellent
performance in the MR-CLEAN Registry cohort in patients presenting within 12 h from onset …

Background Deep learning using clinical and imaging data may improve pre-treatment
prognostication in ischemic stroke patients undergoing endovascular thrombectomy (EVT) …

Background: Physicians and patients are eager to know likely functional outcomes at
different stages of treatment after acute ischemic stroke (AIS). The aim of this study was to …

Background In patients with acute ischemic stroke secondary to large vessel occlusion (AIS-
LVO), improved functional outcomes have been reported in patients who achieve Modified …