Large Language Models in Spine Surgery: A Promising Technology

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.