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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

In their seminal work published in Nature Medicine, Yang et al [4] introduced the concept of a “Digital Mask” (DM) designed to protect patient privacy while preserving disease-relevant features critical for diagnosis. While this innovation represents a significant step forward in privacy preservation, Meeus et al [5] subsequently raised concerns about the reidentification risks associated with the DM.

Haizhu Tan, Hongyu Chen, Zhenmao Wang, Mingguang He, Chiyu Wei, Lei Sun, Xueqin Wang, Danli Shi, Chengcheng Huang, Anping Guo

J Med Internet Res 2025;27:e66873