Background: Periorbital rejuvenation surgery aims to restore a youthful appearance to the face. Despite the popularity of these procedures, few objective measurements exist to evaluate their impact on perceived facial aging.
Objectives: This study aims to quantify the impact of brow lift and blepharoplasty on age as perceived by convolutional neural network (CNN) algorithms.