Subarachnoid haemorrhage (SAH) is the third most common subtype of stroke. Incidence
has decreased over past decades, possibly in part related to lifestyle changes such as …

Background: Delayed cerebral ischemia (DCI) is a common and serious complication of
aneurysmal subarachnoid hemorrhage (aSAH). Though many clinical trials have looked at …

Explainable artificial intelligence (XAI) has emerged as a promising solution for addressing
the implementation challenges of AI/ML in healthcare. However, little is known about how …

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 …

It is feasible to predict delayed cerebral ischemia (DCI) after aneurysmal subarachnoid
hemorrhage (aSAH) using Artificial intelligence (AI) algorithms, which may offer significant …

Background/Objective: Sex-related differences among patients with aneurysmal
subarachnoid hemorrhage (aSAH) and their potential clinical implications have been …

The nursing monitoring of electroencephalography (EEG) during neurosurgery includes
verifying the proper placement of electrodes on the patient's scalp and ensuring the accurate …

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 Delayed cerebral ischemia (DCI) is a primary contributor to death after
subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination …