Efficacy of Smoothing Algorithms to Enhance Detection of Visual Field Progression in Glaucoma.

Purpose: To evaluate and compare the effectiveness of nearest neighbor (NN)- and variational autoencoder (VAE)-smoothing algorithms to reduce variability and enhance the performance of glaucoma visual field (VF) progression models.

Design: Longitudinal cohort study.

Subjects: 7150 eyes (4232 patients), with ≥ 5 years of follow-up and ≥ 6 visits.