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Machine Learning in Spine Surgery: A Narrative Review.

Samuel Adida1, Andrew D Legarreta1, Joseph S Hudson1

  • 1Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh , Pennsylvania , USA.

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|November 6, 2023
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Summary

Artificial intelligence (AI) and machine learning (ML) are revolutionizing spine surgery with improved decision-making and outcomes. This review explores AI applications across preoperative, intraoperative, and postoperative phases, highlighting future directions.

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) and machine learning (ML) present transformative potential in spine surgery.
  • Recent advancements have seen ML applications in surgical decision-making, intraoperative guidance, and outcome optimization.
  • ML offers solutions for diverse clinical needs, enhancing diagnostic and surgical methodologies.

Conclusions:

  • Machine learning holds significant promise for advancing spine surgery by improving efficiency and patient outcomes.
  • Addressing ethical concerns and technical challenges is crucial for widespread adoption.
  • Future research should focus on augmented and mixed reality integration, alongside mitigating bias and ensuring generalizability.