Liu Y, Yang J, Zhou Y, et al. - In the present study, the researchers sought to produce and assess individualized posttherapeutic optical coherence tomography (OCT) images that could anticipate the short-term response of antivascular endothelial growth factor therapy for typical neovascular age-related macular degeneration (nAMD) based on pretherapeutic images utilizing generative adversarial network (GAN). In total, 476 pairs of pretherapeutic and posttherapeutic OCT images of patients with nAMD were involved in training set, whereas 50 pretherapeutic OCT images were involved in the tests set retrospectively, and their corresponding posttherapeutic OCT images were used to assess the synthetic images. According to results, 92% of the synthetic OCT images had sufficient quality for further clinical interpretation. Only about 26%–30% synthetic posttherapeutic images could be identified as synthetic images accurately. Data reported that the accuracy to predict wet or dry macular status was 0.85. The findings showed GAN's great potential for generating posttherapeutic OCT images with both good quality and high precision.