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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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 Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II:

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; Head of the Laboratory of Biomedical Informatics and Artificial Intelligence; 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) is trending in neurosurgery. This review highlights key AI applications across neurosurgery fields, aiding future research and project planning.

Keywords:
artificial intelligencenatural language processingneurosurgerytopic modeling in neurosurgery

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Area of Science:

  • Clinical Neuroscience
  • Neurosurgery

Background:

  • The use of artificial intelligence (AI) in neurosurgery is a growing area of research.
  • This study addresses the increasing number of publications on AI in clinical neuroscience.

Purpose of the Study:

  • To systematically review and identify key trends and applications of AI in neurosurgery.
  • To provide insights for future scientific projects in AI-driven neurosurgery.

Main Methods:

  • A systematic literature review was conducted.
  • 327 articles from 1996-2019 were selected from PubMed.
  • AI applications were identified across neurosurgery subspecialties.

Main Results:

  • Key AI applications were defined for neuro-oncology, functional, vascular, spinal neurosurgery, and traumatic brain injury.
  • Identified typical AI issues addressed within each neurosurgery area.

Conclusions:

  • The study outlines current AI research trends in neurosurgery.
  • Findings can guide the development of new scientific projects in the field.