Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Extended reality and web-based imaging in case-based anatomy education: a two-year study of knowledge retention on anomalies and variations.

BMC medical education·2026
Same author

Factors associated with intention to obtain HPV vaccination at ages 9-10 among parents with varied prior vaccine decision making experiences and choices.

Vaccine·2026
Same author

Mapping melanoma in Hawai'i with inpatient discharge data from 2016 to 2023: Community determinants and anatomic distribution patterns.

Cancer epidemiology·2026
Same author

Intraventricular metastasis: a systematic review of patient demographics, clinical characteristics, and outcomes.

Neuro-Chirurgie·2026
Same author

Surgical Anatomical Study of the Lateral Femoral Cutaneous Nerve in Direct Anterior Approach for Total Hip Arthroplasty to Minimize Neurological Complications.

Clinical anatomy (New York, N.Y.)·2026
Same author

Utilizing ZIP code-based choropleth maps as a visual tool to analyze Native Hawaiian and Pacific Islander (NHPI) recruitment patterns in Alzheimer's disease clinical trials in Hawai'i: A retrospective study.

Science progress·2026

Related Experiment Video

Updated: Aug 4, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

Themes in neuronavigation research: A machine learning topic analysis.

Gina Watanabe1, Andie Conching1, Scott Nishioka1

  • 1John A Burns School of Medicine, University of Hawaii, Honolulu, HI, USA.

World Neurosurgery: X
|April 4, 2023
PubMed
Summary
This summary is machine-generated.

Machine learning analyzed neuronavigation literature, revealing a focus on clinical applications over new system development. Despite growth, neuronavigation research output has plateaued in the last decade.

Keywords:
Artificial intelligenceBibliometricMachine learningNatural language processingNeuronavigationNeurosurgeryTopic modeling

More Related Videos

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

2.5K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

Related Experiment Videos

Last Updated: Aug 4, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

2.5K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

Area of Science:

  • Neurosurgery and Medical Technology

Background:

  • Neuronavigation systems are crucial tools in modern surgery.
  • Understanding research trends is vital for technological advancement and clinical application.

Purpose of the Study:

  • To analyze trends in neuronavigation research using machine learning.
  • To identify key themes and shifts in neuronavigation publications over time.

Main Methods:

  • PubMed database queried for "Neuronavigation" articles (inception-2020).
  • Articles classified as neuronavigation-focused (NF) if "Neuronavigation" was a major MeSH term.
  • Latent Dirichlet Allocation (LDA) topic modeling used to identify research themes.

Main Results:

  • 1727 of 3896 articles were NF; 80% publication growth from 1999-2009 to 2010-2020.
  • Top themes: "Resection of Eloquent Lesions" (243), "Accuracy and Registration" (242), "Patient Outcomes" (156).
  • Research predominantly focuses on clinical assessment (77%) versus new system development (18%).

Conclusions:

  • Neuronavigation research prioritizes clinical utility and assessment of existing systems.
  • Despite significant progress, the overall output of neuronavigation research appears to have plateaued recently.