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

Artificial Intelligence (AI) in Medical Education (78) Testing and Assessment in Medical Education (53) Generative Language Models Including ChatGPT (311) Chatbots and Conversational Agents (532) e-Learning and Medical Education (695) New Methods and Approaches in Medical Education (237) Theme Issue: ChatGPT and Generative Language Models in Medical Education (85)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57054, first published .
Performance of GPT-4V in Answering the Japanese Otolaryngology Board Certification Examination Questions: Evaluation Study

Performance of GPT-4V in Answering the Japanese Otolaryngology Board Certification Examination Questions: Evaluation Study

Performance of GPT-4V in Answering the Japanese Otolaryngology Board Certification Examination Questions: Evaluation Study

Authors of this article:

Masao Noda1, 2 Author Orcid Image ;   Takayoshi Ueno2 Author Orcid Image ;   Ryota Koshu1 Author Orcid Image ;   Yuji Takaso1, 2 Author Orcid Image ;   Mari Dias Shimada1 Author Orcid Image ;   Chizu Saito1 Author Orcid Image ;   Hisashi Sugimoto2 Author Orcid Image ;   Hiroaki Fushiki3 Author Orcid Image ;   Makoto Ito1 Author Orcid Image ;   Akihiro Nomura4 Author Orcid Image ;   Tomokazu Yoshizaki2 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Kaneda Y, Tayuinosho A, Tomoyose R, Takita M, Hamaki T, Tanimoto T, Ozaki A. Evaluating ChatGPT's effectiveness and tendencies in Japanese internal medicine. Journal of Evaluation in Clinical Practice 2024;30(6):1017 View
  2. Buhr C, Smith H, Huppertz T, Bahr-Hamm K, Matthias C, Cuny C, Snijders J, Ernst B, Blaikie A, Kelsey T, Kuhn S, Eckrich J. Assessing unknown potential—quality and limitations of different large language models in the field of otorhinolaryngology. Acta Oto-Laryngologica 2024;144(3):237 View
  3. Terwilliger E, Bcharah G, Bcharah H, Bcharah E, Richardson C, Scheffler P. Advancing Medical Education: Performance of Generative Artificial Intelligence Models on Otolaryngology Board Preparation Questions With Image Analysis Insights. Cureus 2024 View
  4. Tong W, Zhang X, Zeng H, Pan J, Gong C, Zhang H. Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era. JMIR Medical Education 2024;10:e48594 View
  5. Liu C, Ho C, Wu T. Custom GPTs Enhancing Performance and Evidence Compared with GPT-3.5, GPT-4, and GPT-4o? A Study on the Emergency Medicine Specialist Examination. Healthcare 2024;12(17):1726 View
  6. Kipp M. From GPT-3.5 to GPT-4.o: A Leap in AI’s Medical Exam Performance. Information 2024;15(9):543 View
  7. Merlino D, Brufau S, Saieed G, Van Abel K, Price D, Archibald D, Ator G, Carlson M. Comparative Assessment of Otolaryngology Knowledge Among Large Language Models. The Laryngoscope 2024 View
  8. Fan K, Fan K. Dermatological Knowledge and Image Analysis Performance of Large Language Models Based on Specialty Certificate Examination in Dermatology. Dermato 2024;4(4):124 View
  9. Diniz‐Freitas M, Lago‐Méndez L, Limeres‐Posse J, Diz‐Dios P. Challenging ChatGPT‐4V for the Diagnosis of Oral Diseases and Conditions. Oral Diseases 2024 View