The investigative team from Duke University added that simulations using the convolutional neural network for clinical trial recruitment of patients with risk for disease progression showed a greater yield in identifying progression to GA within the trial cohort. A convolutional neural network-based deep learning algorithm accurately predicted eyes that progressed from intermediate age-related macular degeneration (iAMD) to geographic atrophy (GA) within 1 year, according to a new analysis.
