Using large language models as decision support tools in emergency ophthalmology.

Journal: International journal of medical informatics
PMID: 40147415

Abstract

BACKGROUND: Large language models (LLMs) have shown promise in various medical applications, but their potential as decision support tools in emergency ophthalmology remains unevaluated using real-world cases.

Authors

  • Ante Kreso
    University Hospital Split, Department for Ophthalmology, Croatia.
  • Zvonimir Boban
    University of Split School of Medicine, Department for Medical Physics, Croatia.
  • Sime Kabic
    University Hospital Split, Department for Ophthalmology, Croatia.
  • Filip Rada
    University Hospital Split, Department for Ophthalmology, Croatia.
  • Darko Batistic
    University Hospital Split, Department for Ophthalmology, Croatia.
  • Ivana Barun
    University Hospital Split, Department for Ophthalmology, Croatia.
  • Ljubo Znaor
    University Hospital Split, Department for Ophthalmology, Croatia.
  • Marko Kumric
    University of Split School of Medicine, Department for Pathophysiology, Croatia.
  • Josko Bozic
    University of Split School of Medicine, Department for Pathophysiology, Croatia.
  • Josip Vrdoljak
    University of Split School of Medicine, Department for Pathophysiology, Croatia. Electronic address: josip.vrdoljak@mefst.hr.

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