Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review
A Warman, AL Kalluri, TD Azad - Neurosurgical Focus, 2023 - thejns.org
OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …
increasingly prevalent in the neurosurgical literature. However, little is known about the …
Should individual timeline and serial CT/MRI panels of all patients be presented in acute brain insult cohorts? A pilot study of 45 patients with decompressive …
AH Autio, J Paavola, J Tervonen, M Lång… - Acta …, 2023 - Springer
Purpose Our review of acute brain insult articles indicated that the patients' individual (i)
timeline panels with the defined time points since the emergency call and (ii) serial brain …
timeline panels with the defined time points since the emergency call and (ii) serial brain …
[HTML][HTML] XGBoost machine learning algorithm for prediction of outcome in aneurysmal subarachnoid hemorrhage
R Wang, J Zhang, B Shan, M He… - … Disease and Treatment, 2022 - ncbi.nlm.nih.gov
Background Patients suffered aneurysmal subarachnoid hemorrhage (aSAH) usually
develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor …
develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor …
Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms
N Stroh, H Stefanits, A Maletzky, S Kaltenleithner… - Scientific Reports, 2023 - nature.com
Abstract Machine learning (ML) has revolutionized data processing in recent years. This
study presents the results of the first prediction models based on a long-term monocentric …
study presents the results of the first prediction models based on a long-term monocentric …
Dynamic prediction of mechanical thrombectomy outcome for acute ischemic stroke patients using machine learning
Y Hu, T Yang, J Zhang, X Wang, X Cui, N Chen, J Zhou… - Brain Sciences, 2022 - mdpi.com
The unfavorable outcome of acute ischemic stroke (AIS) with large vessel occlusion (LVO) is
related to clinical factors at multiple time points. However, predictive models used for …
related to clinical factors at multiple time points. However, predictive models used for …
Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach
Early and reliable prediction of shunt-dependent hydrocephalus (SDHC) after aneurysmal
subarachnoid hemorrhage (aSAH) may decrease the duration of in-hospital stay and reduce …
subarachnoid hemorrhage (aSAH) may decrease the duration of in-hospital stay and reduce …
Analysis of cerebral spinal fluid drainage and intracranial pressure peaks in patients with subarachnoid hemorrhage
A Früh, P Truckenmüller, D Wasilewski, P Vajkoczy… - Neurocritical Care, 2024 - Springer
Background After aneurysmal subarachnoid hemorrhage (aSAH), elevated intracranial
pressure (ICP) due to disrupted cerebrospinal fluid (CSF) dynamics is a critical concern. An …
pressure (ICP) due to disrupted cerebrospinal fluid (CSF) dynamics is a critical concern. An …
Machine learning for outcome prediction of neurosurgical aneurysm treatment: Current methods and future directions
Introduction Machine learning algorithms have received increased attention in neurosurgical
literature for improved accuracy over traditional predictive methods. In this review, the …
literature for improved accuracy over traditional predictive methods. In this review, the …
[HTML][HTML] Easily created prediction model using automated artificial intelligence framework (Prediction One, Sony Network Communications Inc., Tokyo, Japan) for …
M Katsuki, S Kawamura, A Koh - Cureus, 2021 - ncbi.nlm.nih.gov
Methods We used an open dataset of 298 SAH patients, who were with non-severe
neurological grade and treated by coiling. Modified Rankin Scale 0-3 at six months was …
neurological grade and treated by coiling. Modified Rankin Scale 0-3 at six months was …
Comparison of prognostic models for functional outcome in aneurysmal subarachnoid hemorrhage based on machine learning
H Wang, TL Bothe, C Deng, S Lv, PH Khedkar… - World Neurosurgery, 2023 - Elsevier
Background Controversy exists regarding the superiority of the performance of prognostic
tools based on advanced machine learning (ML) algorithms for patients with aneurysmal …
tools based on advanced machine learning (ML) algorithms for patients with aneurysmal …