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 …

Fluid-Based Protein Biomarkers in Traumatic Brain Injury: The View from the Bedside

DV Agoston, A Helmy - International Journal of Molecular Sciences, 2023 - mdpi.com
There has been an explosion of research into biofluid (blood, cerebrospinal fluid, CSF)-
based protein biomarkers in traumatic brain injury (TBI) over the past decade. The …

A computational pipeline towards large-scale and multiscale modeling of traumatic axonal injury

C Zhang, L Bartels, A Clansey, J Kloiber… - Computers in Biology …, 2024 - Elsevier
Contemporary biomechanical modeling of traumatic brain injury (TBI) focuses on either the
global brain as an organ or a representative tiny section of a single axon. In addition, while it …

[HTML][HTML] Head trauma

F Shaikh, M Waseem - 2017 - europepmc.org
Objectives: Summarize the incidence of head trauma. Explain how to classify traumatic brain
injury. Describe how to evaluate a patient with a head injury. Explain the importance of …

Traumatic brain injury in the long-COVID era

DV Agoston - Neurotrauma Reports, 2024 - liebertpub.com
Major determinants of the biological background or reserve, such as age, biological sex,
comorbidities (diabetes, hypertension, obesity, etc.), and medications (eg, anticoagulants) …

Machine learning algorithm predicts mortality risk in intensive care unit for patients with traumatic brain injury

KC Tu, ENT Tau, NC Chen, MC Chang, TC Yu… - Diagnostics, 2023 - mdpi.com
Background: Numerous mortality prediction tools are currently available to assist patients
with moderate to severe traumatic brain injury (TBI). However, an algorithm that utilizes …

Novel nature-inspired optimization approach-based SVM for identifying the android malicious data

BS Panigrahi, N Nagarajan, KDV Prasad… - Multimedia Tools and …, 2024 - Springer
Malicious malware targeting Android systems has alarmingly increased due to the quick
spread of Android devices. For these devices to be secure and to protect the private data of …

Predicting Progression of Intracranial Hemorrhage in the Prehospital TXA for TBI Trial

HE Hinson, HL Radabaugh, N Li, T Fukuda… - Journal of …, 2024 - liebertpub.com
Progression of intracranial hemorrhage is a common, potentially devastating complication
after moderate/severe traumatic brain injury (TBI). Clinicians have few tools to predict which …

Assessing the predictive capability of machine learning models in determining clinical outcomes for patients with cervical spondylotic myelopathy treated with …

E Alimohammadi, E Fatahi, A Abdi… - Patient Safety in …, 2024 - Springer
Background Cervical spondylotic myelopathy (CSM) is a prevalent degenerative condition
resulting from spinal cord compression and injury. Laminectomy with posterior spinal fusion …

A Prospective Longitudinal Cohort Study of Serum Stanniocalcin-1 as a Potential Prognostic Biomarker of Severe Traumatic Brain Injury

C Jin, X Huang, Y Hu, B Xu, J Ma - Therapeutics and Clinical Risk …, 2024 - Taylor & Francis
Background Stanniocalcin-1 (STC1) may harbor anti-inflammatory and anti-oxidative
properties, thereby exerting neuroprotective effects. This study was done with the intent to …