Chat GPT vs an experienced ophthalmologist: evaluating chatbot writing performance in ophthalmology.

Journal: Eye (London, England)
Published Date: Apr 1, 2025

Abstract

PURPOSE: To examine the abilities of ChatGPT in writing scientific ophthalmology introductions and to compare those abilities to experienced ophthalmologists.

Authors

  • Gabriel Katz
    Department of Politics, University of Exeter, UK. Electronic address: G.Katz@exeter.ac.uk.
  • Ofira Zloto
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel. ozloto@gmail.com.
  • Avner Hostovsky
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Ruth Huna-Baron
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Iris Ben-Bassat Mizrachi
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Zvia Burgansky
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Alon Skaat
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Vicktoria Vishnevskia-Dai
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Ido Didi Fabian
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Oded Sagiv
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Ayelet Priel
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Benjamin S Glicksberg
    The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA.
  • Eyal Klang
    Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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