Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients

JR Vitt, S Mainali - Seminars in Neurology, 2024 - thieme-connect.com
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 …

Machine Learning Algorithms to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage: A Systematic Review and Meta-analysis

LS Santana, JBC Diniz, NN Rabelo, MJ Teixeira… - Neurocritical Care, 2023 - Springer
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 …

External validation of an extreme gradient boosting model for prediction of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage

P Palmisciano, SS Hoz, MD Johnson, JA Forbes… - World Neurosurgery, 2023 - Elsevier
Background Delayed cerebral ischemia (DCI) may significantly worsen the functional status
of patients with aneurysmal subarachnoid hemorrhage (aSAH). Several authors have …

Cerebrospinal fluid volume as an early radiological factor for clinical course prediction after aneurysmal subarachnoid hemorrhage. A pilot study

V Ratkunas, E Misiulis, I Lapinskiene… - European Journal of …, 2024 - Elsevier
Background The pathological mechanisms following aneurysmal subarachnoid hemorrhage
(SAH) are poorly understood. Limited clinical evidence exists on the association between …

[HTML][HTML] Prediction of delayed cerebral ischemia followed aneurysmal subarachnoid hemorrhage. A machine-learning based study

AY Azzam, D Vaishnav, MA Essibayi, SR Unda… - Journal of Stroke and …, 2024 - Elsevier
Abstract Introduction Delayed Cerebral Ischemia (DCI) is a significant complication following
aneurysmal subarachnoid hemorrhage (aSAH) that can lead to poor outcomes. Machine …