Prognostic value of global deep white matter DTI metrics for 1-year outcome prediction in ICU traumatic brain injury patients: an MRI-COMA and CENTER-TBI …
L Puybasset, V Perlbarg, J Unrug, D Cassereau… - Intensive Care …, 2022 - Springer
Purpose A reliable tool for outcome prognostication in severe traumatic brain injury (TBI)
would improve intensive care unit (ICU) decision-making process by providing objective …
would improve intensive care unit (ICU) decision-making process by providing objective …
Assessment of white matter injury and outcome in severe brain trauma: a prospective multicenter cohort
D Galanaud, V Perlbarg, R Gupta… - The Journal of the …, 2012 - pubs.asahq.org
Background Existing methods to predict recovery after severe traumatic brain injury lack
accuracy. The aim of this study is to determine the prognostic value of quantitative diffusion …
accuracy. The aim of this study is to determine the prognostic value of quantitative diffusion …
Unexpected recovery of function after severe traumatic brain injury: the limits of early neuroimaging-based outcome prediction
Background Prognostication in the early stage of traumatic coma is a common challenge in
the neuro-intensive care unit. We report the unexpected recovery of functional milestones …
the neuro-intensive care unit. We report the unexpected recovery of functional milestones …
Machine learning to predict in-hospital morbidity and mortality after traumatic brain injury
K Matsuo, H Aihara, T Nakai, A Morishita… - Journal of …, 2020 - liebertpub.com
Recently, successful predictions using machine learning (ML) algorithms have been
reported in various fields. However, in traumatic brain injury (TBI) cohorts, few studies have …
reported in various fields. However, in traumatic brain injury (TBI) cohorts, few studies have …
Experience of diffusion tensor imaging and 1H spectroscopy for outcome prediction in severe traumatic brain injury: preliminary results
E Tollard, D Galanaud, V Perlbarg… - Critical care …, 2009 - journals.lww.com
Objective: The objective of the study is to test whether multimodal magnetic resonance
imaging can provide a reliable outcome prediction of the clinical status, focusing on …
imaging can provide a reliable outcome prediction of the clinical status, focusing on …
[HTML][HTML] 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 …
with moderate to severe traumatic brain injury (TBI). However, an algorithm that utilizes …
Prognostic value of a combination of circulating biomarkers in critically ill patients with traumatic brain injury: results from the European CREACTIVE study
Individualized patient care is essential to reduce the global burden of traumatic brain injury
(TBI). This pilot study focused on TBI patients admitted to intensive care units (ICUs) and …
(TBI). This pilot study focused on TBI patients admitted to intensive care units (ICUs) and …
[HTML][HTML] Machine learning-based dynamic mortality prediction after traumatic brain injury
R Raj, T Luostarinen, E Pursiainen, JP Posti… - Scientific reports, 2019 - nature.com
Our aim was to create simple and largely scalable machine learning-based algorithms that
could predict mortality in a real-time fashion during intensive care after traumatic brain injury …
could predict mortality in a real-time fashion during intensive care after traumatic brain injury …
[HTML][HTML] Rapid prediction of secondary neurologic decline after traumatic brain injury: a data analytic approach
Secondary neurologic decline (ND) after traumatic brain injury (TBI) is independently
associated with outcome, but robust predictors of ND are lacking. In this retrospective …
associated with outcome, but robust predictors of ND are lacking. In this retrospective …
[HTML][HTML] Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach
A Abujaber, A Fadlalla, D Gammoh… - BMC medical informatics …, 2020 - Springer
Background The study aimed to introduce a machine learning model that predicts in-hospital
mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic …
mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic …
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