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Big data, machine learning, and artificial intelligence: a field guide for neurosurgeons.

Bharath Raju1, Fareed Jumah1, Omar Ashraf1

  • 11Department of Neurosurgery, Rutgers-Robert Wood Johnson Medical School and University Hospital; and.

Journal of Neurosurgery
|October 2, 2020
PubMed
Summary
This summary is machine-generated.

Big data in neurosurgery offers potential but faces challenges. Understanding its applications and limitations is crucial for healthcare professionals to avoid hype and improve patient care.

Keywords:
algorithmartificial intelligenceartificial neural networkbig datadeep learningmachine learningrobotics

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Area of Science:

  • Neurosurgery
  • Health Informatics
  • Data Science

Background:

  • Big data is increasingly prevalent in healthcare, driven by IT advancements and the Internet of Things.
  • Healthcare applications of big data lag behind other sectors due to technical skill gaps, data acquisition/analysis limitations, and governance issues.
  • The medical literature often uses complex terms like machine learning and artificial intelligence, sometimes misrepresenting big data as solely registry-based.

Purpose of the Study:

  • To provide a clear overview of big data analysis in neurosurgery.
  • To review the current applications, limitations, and challenges of big data for neurosurgeons and healthcare professionals.
  • To help demystify big data concepts and enable informed decision-making in personalized patient care.

Main Methods:

  • Review of existing literature on big data in neurosurgery.
  • Analysis of common terminologies and applications.
  • Identification of practical challenges and limitations.

Main Results:

  • Big data in neurosurgery is often discussed with complex terminology, leading to potential misunderstandings.
  • Neurosurgical registries are a common focus, but big data encompasses broader applications.
  • Significant challenges exist in technical expertise, data management, and governance within healthcare.

Conclusions:

  • A foundational understanding of big data principles is essential for neurosurgeons.
  • Distinguishing between hype and reality in big data is critical for effective implementation.
  • Informed awareness will empower healthcare professionals to leverage big data for better decision-making and personalized medicine.