Doctors may be better able to predict the progression of intermediate age-related macular degeneration (AMD) to geographic atrophy by using an artificial intelligence-driven algorithm.
Currently, there is no treatment to reverse or prevent the progression of
intermediate AMD to geographic AMD. Researchers do not fully understand the pathogenesis and progression of non-exudative AMD.
Researchers at Duke University devised an algorithm, which can detect OCT-determined geographic atrophy and predicts progression of intermediate AMD to geographic atrophy on a short-term basis. In addition, the algorithm was able to identify particular structural features seen on OCT that are most linked with or prognosticative of geographic atrophy. The research team analyzed imaging data from patients with intermediate AMD who had been enrolled in the Age-Related Eye Disease Study 2.
Further evaluation is needed utilizing independent databases to ascertain the algorithm's utility for predicting non-exudative AMD.
