AIMC Topic: Brain Injuries, Traumatic

Clear Filters Showing 1 to 10 of 121 articles

Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning.

PloS one Jul 28, 2025
In the intensive care unit (ICU), managing traumatic brain injury (TBI) patients presents significant challenges due to the dynamic interaction between physiological and clinical markers. This study aims to uncover these subtle interconnections and i...
Female Aged Young Adult Adult Neural Networks, Computer Machine Learning Intensive Care Units Brain Injuries, Traumatic Blood Pressure Heart Rate Glasgow Coma Scale Male Middle Aged Humans Electrocardiography
View on PubMed DOI

Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation.

Journal of medical Internet research Jul 3, 2025
BACKGROUND: Traumatic brain injury (TBI) is a critically ill disease with a high mortality rate, and clinical treatment is committed to continuously optimizing treatment strategies to improve survival rates.
Aged Adult Male Algorithms Vital Signs Prognosis Intensive Care Units Humans Middle Aged Female Brain Injuries, Traumatic
View on PubMed DOI

Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension.

Scientific reports Jul 2, 2025
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracranial hypertension (IH) following primary decompressive craniectomy (DC) in patients with severe traumatic brain injury (TBI) and to demonstrate its pote...
Adult Radiomics Male Middle Aged Humans Female Nomograms Brain Injuries, Traumatic Intracranial Pressure Intracranial Hypertension Hemodynamics Deep Learning ROC Curve Optic Nerve Decompressive Craniectomy
View on PubMed DOI

Uncovering injury-specific proteomic signatures and neurodegenerative risks in single and repetitive traumatic brain injury.

Signal transduction and targeted therapy Jun 23, 2025
Traumatic brain injury (TBI) is a major public health concern associated with an increased risk of neurodegenerative diseases including Alzheimer's disease (AD), Parkinson's disease (PD), and chronic traumatic encephalopathy, yet the underlying molec...
Hippocampus Male Mice Proteomics Neurodegenerative Diseases Alzheimer Disease Brain Injuries, Traumatic Disease Models, Animal Humans Animals
View on PubMed DOI

Eyes Are the Windows to the Soul: Reviewing the Possible Use of the Retina to Indicate Traumatic Brain Injury.

International journal of molecular sciences May 28, 2025
Traumatic brain injury (TBI) induces complex molecular and cellular responses, often leading to vision deterioration and potential mortality. Current objective diagnostic methods are limited, necessitating the development of novel tools to assess dis...
Oxidative Stress Brain Injuries, Traumatic Reactive Oxygen Species Microglia Retina Humans Cytokines Biomarkers Animals
View on PubMed DOI

The Role of Hydrogen Sulfide in the Localization and Structural-Functional Organization of p53 Following Traumatic Brain Injury: Development of a YOLO Model for Detection and Quantification of Apoptotic Nuclei.

International journal of molecular sciences May 24, 2025
Traumatic brain injury (TBI) triggers a cascade of molecular and cellular disturbances, including apoptosis, inflammation, and destabilization of neuronal connections. The transcription factor p53 plays a pivotal role in regulating cell fate followin...
Male Rats Brain Injuries, Traumatic Astrocytes Neurons Disease Models, Animal Apoptosis Animals Tumor Suppressor Protein p53 Cell Nucleus Hydrogen Sulfide
View on PubMed DOI

Semantic-consistent diffusion model for unsupervised traumatic brain injury detection and segmentation from computed tomography images.

Medical physics Apr 9, 2025
BACKGROUND: Unsupervised traumatic brain injury (TBI) lesion detection aims to identify and segment abnormal regions, such as cerebral edema and hemorrhages, using only healthy training data. Recent advancements in generative models have achieved suc...
Diffusion Semantics Image Processing, Computer-Assisted Brain Injuries, Traumatic Unsupervised Machine Learning Humans Tomography, X-Ray Computed
View on PubMed DOI

Is artificial intelligence superior to traditional regression methods in predicting prognosis of adult traumatic brain injury?

Neurosurgical review Apr 7, 2025
Traumatic brain injury (TBI) is a significant global health issue with high morbidity and mortality rates. Recent studies have shown that machine learning algorithms outperform traditional logistic regression models in predicting functional outcomes ...
ROC Curve Logistic Models Adult Brain Injuries, Traumatic Artificial Intelligence Aged Humans Male Glasgow Outcome Scale Machine Learning Glasgow Coma Scale Young Adult Prognosis Algorithms Female Middle Aged
View on PubMed DOI

Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques.

Scientific reports Apr 2, 2025
Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs among patients with traumatic brain injury. Accurately predicting risk can facilitate earlier interventions and improve patient outcomes. This study le...
Support Vector Machine Brain Injuries, Traumatic Pneumonia, Ventilator-Associated Adult Male Middle Aged Algorithms Female Risk Factors Humans Aged Machine Learning
View on PubMed DOI

Machine Learning Approaches to Prognostication in Traumatic Brain Injury.

Current neurology and neuroscience reports Feb 19, 2025
PURPOSE OF REVIEW: This review investigates the use of machine learning (ML) in prognosticating outcomes for traumatic brain injury (TBI). It underscores the benefits of ML models in processing and integrating complex, multimodal data-including clini...
Brain Injuries, Traumatic Humans Neuroimaging Machine Learning Prognosis
View on PubMed DOI
Popular Topics
Recent Journals