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Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery.

Wireko Andrew Awuah1, Favour Tope Adebusoye1, Jack Wellington2

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Artificial intelligence (AI) enhances neurosurgery by improving diagnostic and surgical decision-making. AI, machine learning, and deep learning advance patient care, reduce complications, and optimize surgical planning for better outcomes.

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Area of Science:

  • Neurosurgery
  • Medical Technology
  • Artificial Intelligence

Background:

  • Neurosurgeons require extensive training for complex decision-making across all surgical phases.
  • Artificial intelligence (AI) is increasingly integrated into neurosurgical practice.

Purpose of the Study:

  • To explore the role and impact of AI in neurosurgery.
  • To highlight how AI augments neurosurgeon capabilities for improved patient care.

Main Methods:

  • Review of AI, machine learning (ML), and deep learning (DL) applications in neurosurgery.
  • Analysis of AI's contribution to interventional and non-interventional therapies.

Main Results:

  • AI significantly improves diagnostic and prognostic outcomes.
  • AI enhances decision-making during preoperative, intraoperative, and postoperative care.
  • ML and DL advancements have led to better patient outcomes and reduced complications.

Conclusions:

  • AI integration in neurosurgery offers substantial benefits for patient care.
  • AI tools augment neurosurgeons' abilities, leading to improved surgical planning and outcomes.
  • The continued progress of AI, ML, and DL promises further advancements in neurosurgical procedures.