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Evidence-based potential of generative artificial intelligence large language models in orthodontics: a comparative study of ChatGPT, Google Bard, and Microsoft Bing.

Miltiadis A MakrygiannakisKostis GiannakopoulosEleftherios G Kaklamanos
Published in: European journal of orthodontics (2024)
Language models (LLMs) show great potential in supporting evidence-based orthodontics. However, their current limitations pose a potential risk of making incorrect healthcare decisions if utilized without careful consideration. Consequently, these tools cannot serve as a substitute for the orthodontist's essential critical thinking and comprehensive subject knowledge. For effective integration into practice, further research, clinical validation, and enhancements to the models are essential. Clinicians must be mindful of the limitations of LLMs, as their imprudent utilization could have adverse effects on patient care.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • autism spectrum disorder
  • big data
  • human health
  • deep learning
  • primary care
  • palliative care
  • emergency department
  • risk assessment