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Large Language Models in Spine Surgery: A Promising Technology.

Romil Shah1, Joseph H Schwab1

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Large language models (LLMs) can improve spine surgery by enhancing patient education, research, and clinical practice. This review examines LLM applications and limitations in spine care.

Keywords:
artificial intelligencelarge language modelsmachine learningnatural language processingorthopedic surgeryspine surgerytechnology integration

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Area of Science:

  • Artificial Intelligence in Medicine
  • Spine Surgery Innovations

Background:

  • Large language models (LLMs) are emerging AI tools with broad applicability.
  • Spine surgery presents unique opportunities for AI integration.

Purpose of the Study:

  • To review current and potential applications of LLMs in spine surgery.
  • To assess the possibilities and limitations of LLMs in this specialty.

Main Methods:

  • Literature review of LLM applications in medical fields.
  • Focused analysis on spine surgery contexts.
  • Evaluation of LLM impact on patient education, research, clinical practice, and perioperative care.

Main Results:

  • LLMs show promise in enhancing patient education materials.
  • Potential for LLMs to streamline spine surgery research and data analysis.
  • Opportunities exist for LLMs to support clinical decision-making and practice improvement.

Conclusions:

  • LLMs offer significant potential to advance spine surgery.
  • Further research and careful implementation are needed to overcome limitations.
  • LLMs could revolutionize various aspects of spine care delivery.