Artificial intelligence for brain diseases: A systematic review
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …
analyzing complex medical data and extracting meaningful relationships in datasets, for …
Big data, machine learning, and artificial intelligence: a field guide for neurosurgeons
Big data has transformed into a trend phrase in healthcare and neurosurgery, becoming a
pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a …
pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a …
Nerve optic segmentation in CT images using a deep learning model and a texture descriptor
R Ranjbarzadeh, S Dorosti… - Complex & Intelligent …, 2022 - Springer
The increased intracranial pressure (ICP) can be described as an increase in pressure
around the brain and can lead to serious health problems. The assessment of ultrasound …
around the brain and can lead to serious health problems. The assessment of ultrasound …
Dynamic prediction of mortality after traumatic brain injury using a machine learning algorithm
R Raj, JM Wennervirta, J Tjerkaski, TM Luoto… - NPJ digital …, 2022 - nature.com
Intensive care for patients with traumatic brain injury (TBI) aims to optimize intracranial
pressure (ICP) and cerebral perfusion pressure (CPP). The transformation of ICP and CPP …
pressure (ICP) and cerebral perfusion pressure (CPP). The transformation of ICP and CPP …
Random forest–based prediction of outcome and mortality in patients with traumatic brain injury undergoing primary decompressive craniectomy
M Hanko, M Grendár, P Snopko, R Opšenák… - World neurosurgery, 2021 - Elsevier
Background Various prognostic models are used to predict mortality and functional outcome
in patients after traumatic brain injury with a trend to incorporate machine learning protocols …
in patients after traumatic brain injury with a trend to incorporate machine learning protocols …
A recurrent machine learning model predicts intracranial hypertension in neurointensive care patients
N Schweingruber, MMD Mader, A Wiehe, F Röder… - Brain, 2022 - academic.oup.com
The evolution of intracranial pressure (ICP) of critically ill patients admitted to a
neurointensive care unit (ICU) is difficult to predict. Besides the underlying disease and …
neurointensive care unit (ICU) is difficult to predict. Besides the underlying disease and …
Current state of high-fidelity multimodal monitoring in traumatic brain injury
Introduction Multimodality monitoring of patients with severe traumatic brain injury (TBI) is
primarily performed in neuro-critical care units to prevent secondary harmful brain insults …
primarily performed in neuro-critical care units to prevent secondary harmful brain insults …
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
Existing methods to characterise the evolving condition of traumatic brain injury (TBI)
patients in the intensive care unit (ICU) do not capture the context necessary for …
patients in the intensive care unit (ICU) do not capture the context necessary for …
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
J Johnsson, O Björnsson, P Andersson, A Jakobsson… - Critical care, 2020 - Springer
Background Pre-hospital circumstances, cardiac arrest characteristics, comorbidities and
clinical status on admission are strongly associated with outcome after out-of-hospital …
clinical status on admission are strongly associated with outcome after out-of-hospital …
[HTML][HTML] Machine learning algorithms for predicting outcomes of traumatic brain injury: A systematic review and meta-analysis
E Courville, SF Kazim, J Vellek… - Surgical neurology …, 2023 - ncbi.nlm.nih.gov
Background: Traumatic brain injury (TBI) is a leading cause of death and disability
worldwide. The use of machine learning (ML) has emerged as a key advancement in TBI …
worldwide. The use of machine learning (ML) has emerged as a key advancement in TBI …