Subarachnoid hemorrhage (SAH) is one of the major health issues known to society and
has a higher mortality rate. The clinical factors with computed tomography (CT), magnetic …

Abstract Introduction Delayed Cerebral Ischemia (DCI) is a significant complication following
aneurysmal subarachnoid hemorrhage (aSAH) that can lead to poor outcomes. Machine …

Background: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates.
Convolutional neural networks (CNN) are capable of generating highly accurate predictions …

Background Clinical prediction models can enhance clinical decision-making and research.
However, available prediction models in aneurysmal subarachnoid hemorrhage (aSAH) are …

Background: Outcome prediction for subarachnoid hemorrhage (SAH) helps guide care and
compare global management strategies. Logistic regression models for outcome prediction …

Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases
with high morbidity and mortality. Head computed tomography (CT) is among the preferred …

Background: Reliable prediction models of subarachnoid hemorrhage (SAH) outcomes are
needed for decision-making of the treatment. SAFIRE score using only four variables is a …

Delayed cerebral ischemia (DCI) is a common and severe complication after subarachnoid
hemorrhage (SAH). Logistic regression (LR) is the primary method to predict DCI, but it has …

Objective Our aim was to develop a nomogram that integrates clinical and radiological data
obtained from computed tomography (CT) scans, enabling the prediction of chronic …

Reliable prediction of outcomes of aneurysmal subarachnoid hemorrhage (aSAH) based on
factors available at patient admission may support responsible allocation of resources as …