Retinal image analysis for clinical translation: From deep learning to foundation models, generalization, and trustworthy deployment.
This review examines retinal image analysis from the perspective of clinical translation rather than benchmark-oriented model comparison, arguing that the next stage of retinal AI requires transferable representations, robust external evaluation, trustworthy uncertainty handling, and demonstrated value within real-worl...