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

Masao Noda   1 * , MBA, MD, PhD ;   Hidekane Yoshimura   2 * , MD, PhD ;   Takuya Okubo   2 , MD ;   Ryota Koshu   1 , MD ;   Yuki Uchiyama   2 , MD ;   Akihiro Nomura   3 , MD, PhD ;   Makoto Ito   1 , MD, PhD ;   Yutaka Takumi   2 , MD, PhD

1 Department of Otolaryngology, Head and Neck Surgery, Jichi Medical University, Shimotsuke, Japan

2 Department of Otolaryngology - Head and Neck Surgery, Shinshu University, Matsumoto, Japan

3 College of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa, Japan

*these authors contributed equally

Corresponding Author:

  • Masao Noda, MBA, MD, PhD
  • Department of Otolaryngology, Head and Neck Surgery
  • Jichi Medical University
  • 3311-1 Yakushiji
  • Shimotsuke, 329-0498
  • Japan
  • Phone: 81 285442111
  • Email: doforanabdosuc@gmail.com