Machine learning has transformed ophthalmology, particularly in predictive and discriminatory models for vitreoretinal pathologies. However, generative modeling, especially generative adversarial networks (GANs), remains underexplored. GANs consist of two neural networks—the generator and discriminator—that work in opposition to synthesize highly realistic images. These synthetic images can enhance diagnostic accuracy, expand the capabilities of imaging technologies, and predict treatment responses. GANs have already been applied to fundus imaging, optical coherence tomography (OCT), and fluorescein autofluorescence (FA). Despite their potential, GANs face challenges in reliability and accuracy. This review explores GAN architecture, their advantages over other deep learning models, and their clinical applications in retinal disease diagnosis and treatment monitoring. Furthermore, we discuss the limitations of current GAN models and propose novel applications combining GANs with OCT, OCT-angiography, fluorescein angiography, fundus imaging, electroretinograms, visual fields, and indocyanine green angiography.

The fusion of biomaterial science with clinical practice in oculoplastic and orbital surgery, particularly in the reconstruction of the posterior lamella of the eyelid, the lacrimal system, orbital floor fractures, and the development of implants for anophthalmic sockets, represents a frontier where materials meet surgical techniques. This review, which spans research from 2015 to 2023, delves into the application and integration of biopolymers and functional biomaterials in these complex areas. The discussion begins by reviewing the key anatomy of the external ocular surface, lacrimal system, and orbit. It then summarizes the various current surgical approaches for treating diseases affecting the external ocular surface and orbital involvement, with an emphasis on the associated challenges. The discussion continues with a comprehensive overview of the advantages and disadvantages of current and emerging biomaterials, including synthetic and natural polymers, used in reconstructive surgeries. These include applications for eyelid structure reconstruction, lacrimal system repair, orbital bone fracture repair, and orbital socket reconstruction. Throughout the review, the pathophysiology and challenges associated with these reconstructive procedures are explored, with an emphasis on surgical nuances and the ongoing pursuit of optimal reconstruction techniques. Finally, this review serves as a valuable resource for familiarizing clinicians with current knowledge and generating future hypotheses. It concludes that no evidence-based guidelines currently exist in oculoplastic surgery regarding the use of biopolymers in reconstructive procedures. Further research is needed to evaluate the efficacy and reproducibility of these biopolymers.