Gustavo Albrecht Samico

RNFL Thickness in a Population-Based Cohort: The Canadian Longitudinal Study on Aging M2M (Machine-to-Machine) Study.

The M2M model provided robust estimates of RNFL thickness from fundus photographs in a large population-based cohort.

Deep Learning-Predicted RNFL Loss and Incident Glaucoma in the Canadian Longitudinal Study on Aging.

Deep learning-predicted retinal nerve fiber layer loss from fundus photos correlates with meaningful structural change and predicts incident glaucoma. This offers a valuable tool for glaucoma risk stratification, particularly where OCT is unavailable.