Background: Established randomized trial-based parameters for acute ischemic stroke
group patients into generic treatment groups, leading to attempts using various artificial …

The neuroimaging signs of the clot in acute ischemic stroke are relevant for clot biology and
its response to treatment. The diagnostic and predictive value of clot imaging is confirmed by …

Background Machine learning-based prediction models have the potential to have a
considerable positive impact on geriatric care. Design Systematic review and meta …

A direct aspiration-first pass technique (ADAPT) has recently gained popularity for the
treatment of large vessel ischemic stroke. Here, we sought to create a machine learning …

Objective Prediction of malignant middle cerebral artery infarction (MMI) could identify
patients for early intervention. We trained and internally validated a ML model that predicts …

Background Older adults (≥ 65 years) account for a disproportionately high proportion of
hospitalization and in-hospital mortality, some of which may be avoidable. Although …

BACKGROUND AND PURPOSE: Following endovascular thrombectomy in patients with
large-vessel occlusion stroke, successful recanalization from 1 attempt, known as the first …

Purpose This study aimed to develop and evaluate a machine learning model and a novel
clinical score for predicting outcomes in stroke patients undergoing endovascular …

Purpose A stroke is a serious, life-threatening condition that occurs when the blood supply to
a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely to occur …

Objectives We aim to determine the incidence of decompressive hemicraniectomy (DHC) in
the modern era of mechanical thrombectomy techniques and improved revascularization …