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Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases.

Daniel MiladFares AntakiJason MiladAndrew FarahThomas KhairyDavid MikhailCharles-Édouard GiguèreSamir ToumaAllison BernsteinAndrei-Alexandru SzigiatoTaylor NaymanGuillaume A MullieRenaud Duval
Published in: The British journal of ophthalmology (2024)
Improved prompting enhances GPT-4's performance in complex clinical situations, although it does not surpass ophthalmology trainees in our context. Specialised large language models hold promise for future assistance in medical decision-making and diagnosis.
Keyphrases
  • decision making
  • artificial intelligence
  • healthcare
  • big data
  • autism spectrum disorder
  • cataract surgery
  • current status
  • machine learning
  • general practice