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

Applications of AI (104) Generative Language Models Including ChatGPT (325)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58342, first published .
Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Authors of this article:

Masao Noda1 Author Orcid Image ;   Hidekane Yoshimura2 Author Orcid Image ;   Takuya Okubo2 Author Orcid Image ;   Ryota Koshu1 Author Orcid Image ;   Yuki Uchiyama2 Author Orcid Image ;   Akihiro Nomura3 Author Orcid Image ;   Makoto Ito1 Author Orcid Image ;   Yutaka Takumi2 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. 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

Books/Policy Documents

  1. Sultana J, Qin R, Yin Z. Computer Vision – ACCV 2024. View