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DOI 10.1097/bsd.0000000000002083

Медицинская библиотека · Clinical spine surgery · 2026

Can Large Language Models Translate Spine Surgery Guidelines for Patients? A Pilot Validation Study Using AO Spine Recommendations for Degenerative Cervical Myelopathy.

Khan RR, Ryali R, Dhunna DP, Tao BS, Azario R, El-Hajj N, Kim M, Abiad J, Shah NV, Tannoury T, Tannoury C

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Аннотация

STUDY

DESIGN

Pilot cross-sectional validation study.

OBJECTIVES

To evaluate the accuracy of ChatGPT-5 in generating clinician- and patient-facing responses to the 5 AO Spine degenerative cervical myelopathy (DCM) guidelines.

SUMMARY OF BACKGROUND DATA: Degenerative cervical myelopathy (DCM) is managed according to the AO Spine's treatment recommendations; however, these guidelines may be difficult for many patients to understand, who are increasingly seeking medical guidance from large language models like ChatGPT.

METHODS

This pilot study queried ChatGPT-5 7with clinical scenarios (severe, moderate, and mild myelopathy; nonmyelopathic cord compression with and without radiculopathy) extracted directly from the 5 AO Spine DCM guidelines, once for clinicians and once for patients at a ≤6th-grade reading level, using validated prompt templates. Outputs were independently graded by 3 fellowship-trained spine surgeons using a 3-point Likert scale (3=accurate, 2=partially accurate, and 1=inaccurate). The accuracy of ChatGPT's outputs was analyzed, as was the readability of patient-facing outputs using SMOG, FKGL, and FRE indices.

RESULTS

Clinician-facing outputs were highly accurate (mean 2.93±0.26) with near-perfect agreement and no outputs graded as inaccurate. Patient-facing responses were less consistent (mean 2.33±0.72; range: 1-3) with no full inter-rater agreement. Lower scores reflected omission of key details such as mJOA thresholds and clear distinctions between surgical and conservative care. Readability analyses outputted a mean SMOG of 10.4±1.1, FKGL 6.9±0.7, and FRE 72.4±5.3, indicating readability at a ∼7th-grade level, but within "fairly easy" comprehension.

CONCLUSIONS

ChatGPT-5 reliably reproduced AO Spine's guideline recommendations for DCM in clinician-facing outputs. Patient-facing answers were generally aligned with the guidelines, but important details were sometimes lost, and readability was slightly above AMA recommendations. Spine expert review remains essential to ensure accurate patient education and adherence to guidelines.

Для цитирования: Khan RR, Ryali R, Dhunna DP, Tao BS, Azario R, El-Hajj N, Kim M, Abiad J, Shah NV, Tannoury T, Tannoury C. Can Large Language Models Translate Spine Surgery Guidelines for Patients? A Pilot Validation Study Using AO Spine Recommendations for Degenerative Cervical Myelopathy.. Clinical spine surgery. 2026. DOI: 10.1097/bsd.0000000000002083.
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