Aim: The “2023 Guideline for the Management of Patients With Aneurysmal Subarachnoid
Hemorrhage” replaces the 2012 “Guidelines for the Management of Aneurysmal …

With the global outbreak of coronavirus disease 2019 (COVID-19), public health has
received unprecedented attention. The cultivation of emergency and compound …

Background Patients suffered aneurysmal subarachnoid hemorrhage (aSAH) usually
develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor …

Abstract Machine learning (ML) has revolutionized data processing in recent years. This
study presents the results of the first prediction models based on a long-term monocentric …

OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …

The use of artificial intelligence (AI) and robotics in endovascular neurosurgery promises to
transform neurovascular care. We present a review of the recently published neurosurgical …

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

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 …

The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for
significant strides in patient diagnosis, treatment, and prognostication in neurocritical care …

Background: Deep learning (DL)-assisted detection and segmentation of intracranial
hemorrhage stroke in noncontrast computed tomography (NCCT) scans are well …