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 which 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 post-therapeutic OCT images of individuals with nAMD were involved in training set, while 50 pretherapeutic OCT images were involved in the tests set retrospectively, and their corresponding post-therapeutic OCT images were used to assess the synthetic images. The authors discovered that 92% of the synthetic OCT images had sufficient quality for further clinical interpretation. Just about 26%–30% synthetic post-therapeutic images could be precisely identified as synthetic images. The accuracy for predicting wet or dry macular status was 0.85. The results showed GAN's great potential for generating post-therapeutic OCT images with both good quality and high precision.