This paper is in the following e-collection/theme issue:

Theme Issue: ChatGPT and Generative Language Models in Medical Education (66) Chatbots and Conversational Agents (459) Generative Language Models Including ChatGPT (202) Artificial Intelligence (1189) Artificial Intelligence (AI) in Medical Education (50) Artificial Intelligence (117)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50842, first published .
Performance of ChatGPT on Ophthalmology-Related Questions Across Various Examination Levels: Observational Study

Performance of ChatGPT on Ophthalmology-Related Questions Across Various Examination Levels: Observational Study

Performance of ChatGPT on Ophthalmology-Related Questions Across Various Examination Levels: Observational Study

Authors of this article:

Firas Haddad1 Author Orcid Image ;   Joanna S Saade2 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Noda M, Ueno T, Koshu R, Takaso Y, Shimada M, Saito C, Sugimoto H, Fushiki H, Ito M, Nomura A, Yoshizaki T. Performance of GPT-4V in Answering the Japanese Otolaryngology Board Certification Examination Questions: Evaluation Study. JMIR Medical Education 2024;10:e57054 View
  2. Botross M, Mohammadi S, Montgomery K, Crawford C. Performance of Google’s Artificial Intelligence Chatbot “Bard” (Now “Gemini”) on Ophthalmology Board Exam Practice Questions. Cureus 2024 View
  3. Ogunleye B, Zakariyyah K, Ajao O, Olayinka O, Sharma H. A Systematic Review of Generative AI for Teaching and Learning Practice. Education Sciences 2024;14(6):636 View