Cited by 46Surgical Simulation and TrainingSimulation-Based Education in HealthcareAnatomy and Medical Technology

Simulation in neurosurgery—a brief review and commentary

Cobb, Mary In-Ping Huang, Taekman, Jeffrey M., Zomorodi, Ali R., Gonzalez, L. Fernando, Turner, Dennis A.·2016·World Neurosurgery

Abstract

Neurosurgery is one of the most technically demanding and liable of all medical professionals. More than 75% of neurosurgical errors are deemed as preventable and technical in nature. Yet in a specialty that requires such high level of technical expertise, with large consequences for error, there are even fewer opportunities for residents in training to practice on the most complicated cases. Although there is no replacement for actual experiences in the operating room, interpersonal mentorship, coaching, and training, there is room to supplement residency education through simulation. Here we review the evidence to support surgical simulation, describe the strengths and weaknesses of existing technologies in direct neurosurgery specific and indirect simulation applications, and advocate for the development of more neurosurgery-specific applications using emerging kinetic technologies.

Integrity signals

Registry

Crossref · 10.1016/j.wneu.2015.11.068

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Cobb, M. I.-P. H., Taekman, J. M., Zomorodi, A. R., Gonzalez, L. F., & Turner, D. A.
Affiliations
  • Duke University (US)
  • Duke Medical Center (US)
Corresponding author
Cobb, Mary In-Ping Huang
Venue
World Neurosurgery
Publisher
Elsevier BV
Published
2016-05
Volume
89
Pages
583-586
ISSN
1878-8750 (ISSN-L)
OpenAlex
W2210589899
Cited by
46
References
33
Citations by year
2026: 1 · 2025: 5 · 2024: 7 · 2023: 7 · 2022: 6 · 2021: 3 · 2020: 2 · 2019: 8 · 2018: 4 · 2017: 3
FWCI
0.45
Type
journal article
Language
en
Open access
closed
Locations
  • World Neurosurgery (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Surgical Simulation and Training
  • Health Sciences › Medicine › Physiology › Simulation-Based Education in Healthcare
  • Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
Keywords
surgical simulation, neurosurgery, surgical training, neurosurgery residents, surgical errors, simulation-based education, surgical skills training
MeSH terms
Brain Diseases, Competency-Based Education, Computer-Assisted Instruction, Computer Simulation, Humans, Neurosurgery

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review