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Discretionary Corrigenda (110)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84928, first published .
Correction: Artificial Intelligence–Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study

Correction: Artificial Intelligence–Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study

Correction: Artificial Intelligence–Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study

Authors of this article:

Haizhu Tan1 Author Orcid Image ;   Hongyu Chen2, 3 Author Orcid Image ;   Zhenmao Wang4 Author Orcid Image ;   Mingguang He5 Author Orcid Image ;   Chiyu Wei1 Author Orcid Image ;   Lei Sun6 Author Orcid Image ;   Xueqin Wang7 Author Orcid Image ;   Danli Shi5 Author Orcid Image ;   Chengcheng Huang1 Author Orcid Image ;   Anping Guo8 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    1Department of Preventive Medicine, Shantou University Medical College, 22 Xinling Rd, Shantou, China

    2Department of Optoelectronic Information Science and Engineering, Physical and Materials Science College, Guangzhou University, Guangzhou, China

    3Han’s Laser Technology Industry Group Co., Ltd, Shenzhen, China

    4Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, China (Hong Kong)

    5The Hong Kong Polytechnic University, Kowloon, Hong Kong, China (Hong Kong)

    6Department of Ophthalmology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China

    7University of Science and Technology of China, Hefei, China

    8Department of Pharmacy, First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

    *these authors contributed equally

    Corresponding Author:

    Haizhu Tan, PhD



    In “Artificial Intelligence–Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study” [1], the authors noted several errors.

    Co-first authorship has been noted within the “Acknowledgements” section as follows:

    HC, ZW, and MH are co-first authors on this work.

    In affiliation 5, the institution was changed from:

    The Hong Kong Polytechnic University

    To read:

    The Hong Kong Polytechnic University, Kowloon

    In addition, affiliation 6 has been changed from:

    Department of Ophthalmology, the Fourth Affiliated Hospital of Harbin Medical University, Haerbin, China

    To read:

    Department of Ophthalmology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China

    The corrections will appear in the online version of the paper on the JMIR Publications website, 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.


    1. Tan H, Chen H, Wang Z, et al. Artificial intelligence-enabled facial privacy protection for ocular diagnosis: development and validation study. J Med Internet Res. Jul 9, 2025;27:e66873. [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 27.Sep.2025; accepted 29.Sep.2025; published 04.Dec.2025.

    Copyright

    © Haizhu Tan, Hongyu Chen, Zhenmao Wang, Mingguang He, Chiyu Wei, Lei Sun, Xueqin Wang, Danli Shi, Chengcheng Huang, Anping Guo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 4.Dec.2025.

    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 the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.