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Volume 52 (2022): Issue 4 (Apr 2022): Big Data and New Technologies in Neurosurgical Decision-Making
in Neurosurgical Focus
Artwork from Agarwal et al. (E9). Copyright Kenneth X. Probst. Published with permission.
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Introduction. Big data and its impact on the future of neurosurgeryPages: E1Publication Date: Apr 2022
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Editorial. The use of big data for improving understanding of the natural history of neurosurgical diseasePages: E2Publication Date: Apr 2022
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An integrated risk model stratifying seizure risk following brain tumor resection among seizure-naive patients without antiepileptic prophylaxisPages: E3Publication Date: Apr 2022
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Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithmPages: E5Publication Date: Apr 2022
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Boosting phase-contrast MRI performance in idiopathic normal pressure hydrocephalus diagnostics by means of machine learning approachPages: E6Publication Date: Apr 2022
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Predicting surgical decision-making in vestibular schwannoma using tree-based machine learningPages: E8Publication Date: Apr 2022
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Decision tree–based machine learning analysis of intraoperative vasopressor use to optimize neurological improvement in acute spinal cord injuryPages: E9Publication Date: Apr 2022
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Code-free machine learning for object detection in surgical video: a benchmarking, feasibility, and cost studyPages: E11Publication Date: Apr 2022
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Machine learning to predict passenger mortality and hospital length of stay following motor vehicle collisionPages: E12Publication Date: Apr 2022
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Development and validation of a novel survival prediction model for newly diagnosed lower-grade gliomasPages: E13Publication Date: Apr 2022
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