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April 3, 2026Journal of Neurosurgical SciencesOpen Access

Large language models in artificial intelligence to answer patient questions in spine surgery: an evaluation of current evidence

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Authors

JPJinal PatelUniversity of PittsburghZTZayaan TirmiziUniversity of PittsburghAWAyesha Akbar WaheedUniversity of Pittsburgh

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Implication

This evaluation demonstrates the potential of LLMs for patient education in spine surgery, indicating the need for improved accuracy and readability.

Key Points

  • The research aims to evaluate the effectiveness of large language models in educating patients about spine surgery.
  • Assessment of large language models for their ability to answer common patient questions
  • Evaluation of readability and accuracy of the LLM responses
  • Analysis of challenges related to content hallucination and standardization
  • LLMs show potential for improving patient education in spine surgery
  • Challenges include issues with readability and accuracy that limit clinical use
  • The need for standardized evaluation tools and cross-disciplinary collaboration was identified

Cite This Study

Patel et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e995a333a821460d030https://doi.org/10.23736/s0390-5616.26.06678-6
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