Editorial. Occult dysraphism, spinopelvic angles, and machine learning: applying new tools to complex unsolved problems in pediatric neurosurgery-Reference-Cited by-同舟云学术

Editorial. Occult dysraphism, spinopelvic angles, and machine learning: applying new tools to complex unsolved problems in pediatric neurosurgery

Published:2024-03-01 Issue: Volume: Page:1-2
ISSN:1933-0707
Container-title:Journal of Neurosurgery: Pediatrics
language:
Short-container-title:

Author:

Bollo Robert J.¹,Lam Sandi K.²

Affiliation:

1. Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah, Primary Children’s Hospital, Salt Lake City, Utah; and

2. Department of Neurological Surgery, Division of Pediatric Neurosurgery, Northwestern University, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Link

https://thejns.org/downloadpdf/journals/j-neurosurg-pediatr/aop/article-10.3171-2023.12.PEDS23504/article-10.3171-2023.12.PEDS23504.xml

Reference8 articles.

1. Use of a machine learning algorithm with a focus on spinopelvic parameters to predict development of symptomatic tethered cord after initial untethering surgery;Punchak MA

2. Long-term outcome of total and near-total resection of spinal cord lipomas and radical reconstruction of the neural placode, part II: outcome analysis and preoperative profiling;Pang D,2010

3. The patient with 405 symptoms following resection of a lipomyelomeningocele: do increases in the 406 lumbosacral angle indicate a tethered spinal cord?;Tubbs RS,2006

4. Artificial intelligence in neurosurgery: a bibliometric analysis;El-Hajj VG,2023

5. Exploring the landscape of machine learning applications in neurosurgery: a bibliometric analysis and narrative review of trends and future directions;Levy AS,2024