Improved Performance of ChatGPT-4 on the OKAP Examination: A Comparative Study with ChatGPT-3.5

Sean Teebagy; Lauren Colwell; Emma Wood; Antonio Yaghy; Misha Faustina

doi:10.1055/s-0043-1774399

Journal of Academic Ophthalmology (Jul 2023)

Improved Performance of ChatGPT-4 on the OKAP Examination: A Comparative Study with ChatGPT-3.5

Sean Teebagy,
Lauren Colwell,
Emma Wood,
Antonio Yaghy,
Misha Faustina

Affiliations

Sean Teebagy: ORCiD; Department of Ophthalmology and Visual Sciences, UMass Chan Medical School, Worcester, Massachusetts
Lauren Colwell: Department of Ophthalmology and Visual Sciences, UMass Chan Medical School, Worcester, Massachusetts
Emma Wood: Department of Ophthalmology and Visual Sciences, UMass Chan Medical School, Worcester, Massachusetts
Antonio Yaghy: Department of Ophthalmology and Visual Sciences, UMass Chan Medical School, Worcester, Massachusetts
Misha Faustina: ORCiD; Department of Ophthalmology and Visual Sciences, UMass Chan Medical School, Worcester, Massachusetts

DOI: https://doi.org/10.1055/s-0043-1774399
Journal volume & issue: Vol. 15, no. 02
pp. e184 – e187

Abstract

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Introduction: This study aims to evaluate the performance of ChatGPT-4, an advanced artificial intelligence (AI) language model, on the Ophthalmology Knowledge Assessment Program (OKAP) examination compared to its predecessor, ChatGPT-3.5.

Published in Journal of Academic Ophthalmology

ISSN: 2475-4757 (Online)
Publisher: Thieme Medical Publishers, Inc.
Country of publisher: United States
LCC subjects: Medicine: Ophthalmology
Website: https://doi.org/10.1055/s-00033285

About the journal

Abstract

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