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An analysis of ChatGPT recommendations for the diagnosis and treatment of cervical radiculopathy.

Timothy HoangLathan LiouAshley M RosenbergBashar ZaidatAkiro H DueyNancy ShresthaWasil AhmedJustin TangJun S KimSamuel K Cho
Published in: Journal of neurosurgery. Spine (2024)
ChatGPT models were able to provide safe and accurate but incomplete responses to NASS clinical guideline questions about cervical radiculopathy. Although the authors' results suggest that improvements are required before ChatGPT can be reliably deployed in a clinical setting, future versions of the LLM hold promise as an updated reference for guidelines on cervical radiculopathy. Future versions must prioritize accessibility and comprehensibility for a diverse audience.
Keyphrases
  • current status
  • clinical practice
  • high resolution
  • big data
  • machine learning
  • mass spectrometry
  • artificial intelligence