Works matching IS 10920684 AND DT 2023 AND VI 54 AND IP 6
Results: 17
Radiomic signatures of meningiomas using the Ki-67 proliferation index as a prognostic marker of clinical outcomes.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2337
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- Article
Machine learning for automated and real-time two-dimensional to three-dimensional registration of the spine using a single radiograph.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2345
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- Article
Immunohistochemical markers predicting long-term recurrence following clival and spinal chordoma resection: a multicenter study.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS22653
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- Article
Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injury.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2376
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- Article
Evaluating a 3D deep learning pipeline for cerebral vessel and intracranial aneurysm segmentation from computed tomography angiography-digital subtraction angiography image pairs.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2374
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- Article
Using machine learning to predict 30-day readmission and reoperation following resection of supratentorial high-grade gliomas: an ACS NSQIP study involving 9418 patients.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS22652
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- Article
MRI-based detection of cervical ossification of the posterior longitudinal ligament using a novel automated machine learning diagnostic tool.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2390
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- Article
Surgical classification using natural language processing of informed consent forms in spine surgery.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2371
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- Article
Incorporation of a biparietal narrowing metric to improve the ability of machine learning models to detect sagittal craniosynostosis with 2D photographs.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2349
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- Article
Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2386
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- Article
Quantification of motion during microvascular anastomosis simulation using machine learning hand detection.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2380
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- Article
Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2372
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- Article
Interhemispheric connections in the maintenance of language performance and prognosis prediction: fully connected layer-based deep learning model analysis.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2363
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- Article
Metabolomic differentiation of tumor core versus edge in glioma.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2379
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- Article
Critically reading machine learning literature in neurosurgery: a reader's guide and checklist for appraising prediction models.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS2352
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- Article
Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS22651
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- Article
Machine learning in neurosurgery: transitioning to a new era of contemporary medicine.
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- Neurosurgical Focus, 2023, v. 54, n. 6, p. 1, doi. 10.3171/2023.3.FOCUS23210
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- Article