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Performance of ChatGPT in Diagnosis of Corneal Eye Diseases.

Mohammad DelsozYeganeh MadadiHina RajaWuqaas M MunirBrendan TammShiva MehravaranMohammad SoleimaniAli DjalilianSiamak Yousefi
Published in: Cornea (2024)
The accuracy of ChatGPT-4.0 in diagnosing patients with various corneal conditions was markedly improved than ChatGPT-3.5 and promising for potential clinical integration. A balanced approach that combines artificial intelligence-generated insights with clinical expertise holds a key role for unveiling its full potential in eye care.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • healthcare
  • deep learning
  • optical coherence tomography
  • quality improvement
  • risk assessment
  • climate change