A robust deep learning classifier for screening multiple retinal diseases on optical coherence tomography.

ABSTRACT: Retinal diseases are among the leading causes of visual impairment worldwide, where timely diagnosis and management are critical to prevent irreversible vision loss and blindness, especially in regions with limited access to ophthalmologists. While artificial intelligence (AI) has shown remarkable potential for screening ocular diseases, many existing models are heavily dependent on the datasets used for their development and often experience significant performance drops when tested on external datasets. These limitations in robustness and generalizability reduce their practical applicability in clinical settings. In this study, we proposed our newly developed deep learning architecture, FlexiVarViT is designed to enhance robustness and generalizability by addressing the unique characteri

SUBMITTER: Zhang P 

PROVIDER: S-EPMC12511338 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature