Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62990, first published .
Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

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

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

Corrigenda and Addenda

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

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

3College 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



In “Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation” (JMIR AI 2024;3:e58342) the authors noted one error.

In the original author, no equal contributors were specified. This has been changed as follows:

Masao Noda*, Hidekane Yoshimura*
*These authors contributed equally

The correction will appear in the online version of the paper on the JMIR Publications website on July 9, 2024, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

This is a non–peer-reviewed article. submitted 06.06.24; accepted 06.06.24; published 09.07.24.

Copyright

©Masao Noda, Hidekane Yoshimura, Takuya Okubo, Ryota Koshu, Yuki Uchiyama, Akihiro Nomura, Makoto Ito, Yutaka Takumi. Originally published in JMIR AI (https://ai.jmir.org), 09.07.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR AI, is properly cited. The complete bibliographic information, a link to the original publication on https://www.ai.jmir.org/, as well as this copyright and license information must be included.