A new study has evaluated a deep learning algorithm to automatically detect incomplete and complete retinal pigment epithelium and lateral retinal atrophy (iRORA and cRORA) in the eye. The research team found that the deep learning model was able to accurately identify both iRORA and cRORA lesions within the optical coherence tomography (OCT) B-scan volume of the eye in nonvascular age-related macular degeneration (AMD). The research team suggested that the model could potentially be developed into a diagnostic screening tool.
