ROFI: a deep learning-based ophthalmic sign-preserving and reversible patient face anonymizer.

Here, we introduce ROFI, a deep learning-based privacy protection framework for ophthalmology.

Using weakly supervised learning and neural identity translation, ROFI anonymizes facial features while retaining disease features (over 98% accuracy, κ > 0.90).

ROFI works with AI systems, maintaining original diagnoses (κ > 0.80), and supports secure image reversal (over 98% similarity), enabling audits and long-term care.