Platelets play a critical role in blood clotting and the development of arterial blockages.
Antiplatelet therapy is vital for preventing recurring events in conditions like coronary artery …

Introduction Machine learning algorithms have received increased attention in neurosurgical
literature for improved accuracy over traditional predictive methods. In this review, the …

Background Early computed tomography perfusion (CTP) is frequently used to predict
delayed cerebral ischemia following aneurysmatic subarachnoid hemorrhage (aSAH) …

BACKGROUND. Prediction of outcomes in patients with aneurysmal subarachnoid
hemorrhage (aSAH) is challenging using current clinical predictors. OBJECTIVE. The …

Background Recent studies have reported that machine learning (ML), with a relatively
strong capacity for processing non-linear data and adaptive ability, could improve the …

Objective To investigate poor outcomes of aneurysmal subarachnoid hemorrhage (aSAH)
and compare the clinicodemographic characteristics, imaging features, intervention …

Background: Aneurysmal subarachnoid hemorrhage (aSAH) causes long-term functional
dependence and death. Early prediction of functional outcomes in aSAH patients with …

Background A systematic review of clinical prediction models for aneurysmal subarachnoid
hemorrhage (aSAH) reported in 2011 noted that clinical prediction models for aSAH were …

Cerebrovascular disease refers to a group of conditions that affect blood flow and the blood
vessels in the brain. It is one of the leading causes of mortality and disability worldwide …

Early computed tomography perfusion (CTP) is frequently used to predict delayed cerebral
ischemia following aneurysmatic subarachnoid hemorrhage (aSAH). However, the influence …