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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas.

G V Danilov1, M A Shifrin2, K V Kotik3

  • 1Scientific Board Secretary; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.

Sovremennye Tekhnologii V Meditsine
|November 19, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) applications in neurosurgery are rapidly expanding. This review identifies five key areas: neuro-oncology, functional, vascular, spinal, and traumatic brain injury neurosurgery, guiding future research.

Keywords:
artificial intelligencemachine learningnatural language processingneurosurgerytopic modeling in neurosurgery

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Area of Science:

  • Neurosurgery
  • Artificial Intelligence
  • Machine Learning

Background:

  • Scientific publications on artificial intelligence (AI), particularly machine learning, in neurosurgery have significantly increased.
  • AI is increasingly being explored for its potential to advance neurosurgical practices.

Purpose of the Study:

  • To conduct a systematic literature review on AI applications in neurosurgery.
  • To identify and categorize the primary domains within neurosurgery where AI research is active.

Main Methods:

  • A systematic literature search was performed using the PubMed database.
  • 327 original articles published between 1996 and 2019 were analyzed.
  • Topic modeling algorithms (LDA, ARTM) were employed for keyword identification within AI-based natural language processing.

Main Results:

  • Five principal areas of AI application in neurosurgery were identified: neuro-oncology, functional neurosurgery, vascular neurosurgery, spinal neurosurgery, and surgery of traumatic brain injury.
  • The specific characteristics and research trends within these identified areas were detailed.

Conclusions:

  • The findings provide a comprehensive overview of current AI research in neurosurgery.
  • This review serves as a valuable resource for planning future research initiatives in the field of neurosurgery and AI.