FORT LAUDERDALE, Fla. — A machine-learning algorithm showed the ability to identify spectral-domain OCT predictors of geographic atrophy in eyes with intermediate age-related macular degeneration.
“We used the merged [intermediate] AMD database from the prospective A2A SD-OCT study, a prospective, observational, ancillary study of a subset of eyes from AREDS2, including 316 participants,” Eleonora M. Lad, MD, PhD, said at the Retina World Congress.
The method automatically identified the specific structural features most associated with or predictive of geographic atrophy