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

Artificial Intelligence (2437) Ethics, Privacy, and Legal Issues (679) Clinical Informatics (1479) New Methods (1197) mHealth for Diagnosis (89) Medical imaging (143) Ethical, Legal, and Social Issues in AI (132) Responsible Health AI (103)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66873, first published .
Artificial Intelligence–Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study

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

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 (2) Tweetations Metrics

Journals

  1. Tan H, Chen H, Wang Z, He M, Wei C, Sun L, Wang X, Shi D, Huang C, Guo A. Correction: Artificial Intelligence–Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study. Journal of Medical Internet Research 2025;27:e84928 View
  2. Yuan M, Qian S, Yang S, Song X, Wu P, Hou X, He J, Chou X. A smart insole system with hierarchical nanofiber sensors for multimodal gait analysis and identification. Nano Research 2026;19(6):94908505 View