AI-Based Grading of Facial Aging Signs and Prediction of Visible Age From Standardized Facial Images: Algorithm Development and Internal Evaluation Study

Background

Facial appearance influences visible age (VA), defined here as the age perceived by others; this perception-based outcome differs from chronological age and biological age. Human evaluation of facial aging signs can be time-consuming and subject to interobserver variability. A standardized AI-based approach might offer a more reproducible assessment of visible facial aging in digital dermatology research.