Performance of Generative Large Language Models on Ophthalmology Board-Style Questions.

Journal: American journal of ophthalmology
Published Date:

Abstract

PURPOSE: To investigate the ability of generative artificial intelligence models to answer ophthalmology board-style questions.

Authors

  • Louis Z Cai
    From the Bascom Palmer Eye Institute, Miami, Florida, USA (L.Z.C., A.S., J.S.Y., N.Y., C.A.). Electronic address: louiezcai@gmail.com.
  • Abdulla Shaheen
    From the Bascom Palmer Eye Institute, Miami, Florida, USA (L.Z.C., A.S., J.S.Y., N.Y., C.A.).
  • Andrew Jin
    Yale Eye Center, New Haven, Connecticut, USA (A.J.).
  • Riya Fukui
    Houston Rehabilitation Group, Houston, Texas, USA (R.F.).
  • Jonathan S Yi
    Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Nicolas Yannuzzi
    From the Bascom Palmer Eye Institute, Miami, Florida, USA (L.Z.C., A.S., J.S.Y., N.Y., C.A.).
  • Chrisfouad Alabiad
    From the Bascom Palmer Eye Institute, Miami, Florida, USA (L.Z.C., A.S., J.S.Y., N.Y., C.A.).