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Do ChatGPT and Gemini Provide Appropriate Recommendations for Pediatric Orthopaedic Conditions?

Sean PirkleJaeWon YangTodd J Blumberg
Published in: Journal of pediatric orthopedics (2024)
The LLMs investigated were frequently aligned with the AAOS CPGs; however, the rate of neutral statements or disagreement with consensus recommendations was substantial and frequently contained errors with citations of sources. These findings suggest there remains room for growth and transparency in the development of the models which power AI, and they may not yet represent the best source of up-to-date healthcare information for patients or providers.
Keyphrases
  • healthcare
  • end stage renal disease
  • clinical practice
  • newly diagnosed
  • ejection fraction
  • prognostic factors
  • peritoneal dialysis
  • drinking water
  • patient safety
  • emergency department
  • machine learning
  • patient reported