Research graph
References from Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data. Local targets link to admitted publications; unresolved targets remain external evidence.
Direct wave intraoperative neuromonitoring for spinal tumor resection: a focused review
10.1016/j.wnsx.2022.100139 · 2023 · External reference
Proceedings: clinical utilization of the evoked spinal cord action potential in spine and spinal cord surgery
1975 · External reference
The use of intraoperative neurophysiological monitoring in spine surgery
2020 · External reference
Neuromonitoring in cervical spine surgery: when is a signal drop clinically significant?
10.31616/asj.2020.0074 · 2021 · External reference
EMG, MEP, and SSEP in the intraoperative neurophysiologic monitoring of lumbar surgeries
2019 · External reference
Intraoperative neurophysiological monitoring in spinal surgery
10.12998/wjcc.v3.i9.765 · 2015 · External reference
A deep learning model for automated classification of intraoperative continuous EMG
10.1109/tmrb.2020.3048255 · 2021 · External reference
Frequent neuromonitoring loss during the completion of vertebral column resections in severe spinal deformity surgery
10.1016/j.spinee.2016.08.002 · 2017 · External reference
Predictors of functional outcome after spinal cord surgery: relevance of intraoperative neurophysiological monitoring combined with preoperative neurophysiological and MRI assessments
10.1016/j.neucli.2022.03.004 · 2022 · External reference
What is the predictive value of intraoperative somatosensory evoked potential monitoring for postoperative neurological deficit in cervical spine surgery?: a meta-analysis
10.1016/j.spinee.2021.01.010 · 2021 · External reference
Application of machine learning in the field of intraoperative neurophysiological monitoring: A narrative review
10.3390/app12157943 · 2022 · External reference
A proposed classification system for guiding surgical strategy in cases of severe spinal deformity based on spinal cord function
10.1007/s00586-015-4367-2 · 2016 · External reference
Effect of intra and extraoperative factors on the efficacy of intraoperative neuromonitoring during cervical spine surgery
10.1016/j.wneu.2018.11.244 · 2019 · External reference
Intra-operative neurophysiological monitoring in patients with dystrophic neurofibromatosis type 1 scoliosis
10.1080/08990220.2020.1850438 · 2021 · External reference
A novel MRI-based classification of spinal cord shape and CSF presence at the curve apex to assess risk of intraoperative neuromonitoring data loss with thoracic spinal deformity correction
10.1007/s43390-020-00101-9 · 2020 · External reference
Integration of MRI and somatosensory evoked potentials facilitate diagnosis of spinal cord compression
10.1038/s41598-023-34832-2 · 2023 · External reference
Intramedullary spinal cord tumors: the value of intraoperative neurophysiological monitoring in a series of 57 cases from two Italian centers
10.23736/s0390-5616.19.04758-1 · 2022 · External reference
Could machine learning better predict postoperative C5 palsy of cervical ossification of the posterior longitudinal ligament?
10.1097/bsd.0000000000001295 · 2022 · External reference
Significance of machine learning in healthcare: features, pillars and applications
2022 · External reference
Automated robust interpretation of intraoperative electrophysiological signals: a Bayesian deep learning approach
10.1515/cdbme-2021-2018 · 2021 · External reference
Deep learning for automatically visual evoked potential classification during surgical decompression of sellar region tumors
10.1167/tvst.8.6.21 · 2019 · External reference
Exploratory outlier detection for acceleromyographic neuromuscular monitoring: machine learning approach
10.2196/25913 · 2021 · External reference
Machine learning application of transcranial motor-evoked potential to predict positive functional outcomes of patients
10.1155/2022/2801663 · 2022 · External reference
Unresolved reference
2009 · External reference
Decision tree-based machine learning analysis of intraoperative vasopressor use to optimize neurological improvement in acute spinal cord injury
10.3171/2022.1.focus21743 · 2022 · External reference
Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome
10.1371/journal.pone.0265254 · 2022 · External reference
Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy
10.1371/journal.pone.0215133 · 2019 · External reference
Efficacy of a machine learning-based approach in predicting neurological prognosis of cervical spinal cord injury patients following urgent surgery within 24 h after injury
10.1016/j.jocn.2022.11.003 · 2023 · External reference
Predictive risk factors of poor preliminary postoperative outcome for thoracic ossification of the ligamentum flavum
10.1111/os.12884 · 2021 · External reference
Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review
10.1007/s10143-019-01163-8 · 2020 · External reference
Support vector machines for classification
2015 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
Effective k-nearest neighbor models for data classification enhancement
10.1186/s40537-025-01137-2 · 2025 · External reference
Random forests and decision
2012 · External reference
10.1007/s11634-016-0276-4
10.1007/s11634-016-0276-4 · External reference
A comparative analysis of gradient boosting algorithms
10.1007/s10462-020-09896-5 · 2020 · External reference
Relevance of intraoperative motor evoked potentials and D-wave monitoring for the resection of intramedullary spinal cord tumors in children
10.1007/s10143-022-01788-2 · 2022 · External reference
Variability of somatosensory evoked potential and motor evoked potential change criteria in thoracic spinal decompression surgery based on preoperative motor status
2023 · External reference
Usefulness of intraoperative neurophysiological monitoring during the clipping of unruptured intracranial aneurysm: diagnostic efficacy and detailed protocol
10.3389/fsurg.2021.631053 · 2021 · External reference
