A New Foundation Model for Multimodal Ophthalmic Images: Advancing Disease Detection and Prediction

AbstractFoundation models are a powerful tool in ophthalmology for building generalizable systems that can be efficiently applied to a range of ocular and systemic health tasks. A new foundation model for ophthalmic images demonstrates important progress, particularly through its flexible approach to multimodal training and its application to image segmentation tasks.